Pandas Profiling Report

Dataset statistics

Number of variables	116
Number of observations	8403
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	7.4 MiB
Average record size in memory	928.0 B

Variable types

Categorical	89
Numeric	27

Alerts

`ID` has a high cardinality: 8403 distinct values	High cardinality
`year` is highly correlated with `BP16_1` and 1 other fields	High correlation
`sex` is highly correlated with `HE_ht` and 2 other fields	High correlation
`HE_ht` is highly correlated with `sex` and 1 other fields	High correlation
`HE_wt` is highly correlated with `HE_ht` and 2 other fields	High correlation
`HE_BMI` is highly correlated with `HE_wt` and 1 other fields	High correlation
`M_2_yr` is highly correlated with `M_2_rs` and 34 other fields	High correlation
`M_2_rs` is highly correlated with `M_2_yr` and 34 other fields	High correlation
`LQ_1EQL` is highly correlated with `LQ_2EQL` and 28 other fields	High correlation
`LQ_2EQL` is highly correlated with `M_2_yr` and 37 other fields	High correlation
`LQ_3EQL` is highly correlated with `LQ_1EQL` and 34 other fields	High correlation
`LQ_4EQL` is highly correlated with `LQ_1EQL` and 25 other fields	High correlation
`LQ_5EQL` is highly correlated with `LQ_1EQL` and 33 other fields	High correlation
`BD2_1` is highly correlated with `BD2_31`	High correlation
`BD2_31` is highly correlated with `BD2_1`	High correlation
`BP16_1` is highly correlated with `year` and 1 other fields	High correlation
`BP16_2` is highly correlated with `year` and 1 other fields	High correlation
`BP1` is highly correlated with `mh_stress`	High correlation
`mh_stress` is highly correlated with `BP1`	High correlation
`BS1_1` is highly correlated with `sex` and 2 other fields	High correlation
`BS3_1` is highly correlated with `sex` and 2 other fields	High correlation
`BS3_2` is highly correlated with `BS1_1` and 4 other fields	High correlation
`BS3_3` is highly correlated with `BS3_2` and 21 other fields	High correlation
`BS12_47` is highly correlated with `BS3_2` and 21 other fields	High correlation
`BS9_2` is highly correlated with `BS3_3` and 1 other fields	High correlation
`BS13` is highly correlated with `BS3_3` and 1 other fields	High correlation
`sm_presnt` is highly correlated with `BS3_2`	High correlation
`BE3_71` is highly correlated with `M_2_yr` and 44 other fields	High correlation
`BE3_72` is highly correlated with `M_2_yr` and 44 other fields	High correlation
`BE3_81` is highly correlated with `M_2_yr` and 43 other fields	High correlation
`BE3_82` is highly correlated with `M_2_yr` and 43 other fields	High correlation
`BE3_75` is highly correlated with `M_2_yr` and 44 other fields	High correlation
`BE3_76` is highly correlated with `M_2_yr` and 44 other fields	High correlation
`BE3_85` is highly correlated with `M_2_yr` and 34 other fields	High correlation
`BE3_86` is highly correlated with `M_2_yr` and 34 other fields	High correlation
`BE3_91` is highly correlated with `LQ_2EQL` and 26 other fields	High correlation
`BE8_1` is highly correlated with `LQ_3EQL` and 11 other fields	High correlation
`BE3_31` is highly correlated with `BE3_71` and 17 other fields	High correlation
`BE3_32` is highly correlated with `LQ_2EQL` and 19 other fields	High correlation
`BE5_1` is highly correlated with `M_2_yr` and 31 other fields	High correlation
`pa_aerobic` is highly correlated with `BE3_91`	High correlation
`DI1_pr` is highly correlated with `HE_HP`	High correlation
`DI3_pr` is highly correlated with `M_2_yr` and 36 other fields	High correlation
`DI5_pr` is highly correlated with `M_2_yr` and 41 other fields	High correlation
`DM2_pr` is highly correlated with `M_2_yr` and 30 other fields	High correlation
`DM3_pr` is highly correlated with `M_2_yr` and 37 other fields	High correlation
`DM4_pr` is highly correlated with `M_2_yr` and 31 other fields	High correlation
`DJ2_pr` is highly correlated with `M_2_yr` and 38 other fields	High correlation
`DJ4_pr` is highly correlated with `M_2_yr` and 37 other fields	High correlation
`DJ6_pr` is highly correlated with `M_2_yr` and 39 other fields	High correlation
`DJ8_pr` is highly correlated with `M_2_yr` and 38 other fields	High correlation
`DI6_pr` is highly correlated with `M_2_yr` and 36 other fields	High correlation
`DF2_pr` is highly correlated with `M_2_yr` and 36 other fields	High correlation
`DL1_pr` is highly correlated with `M_2_yr` and 43 other fields	High correlation
`DE2_pr` is highly correlated with `M_2_yr` and 40 other fields	High correlation
`DH4_pr` is highly correlated with `M_2_yr` and 39 other fields	High correlation
`DC1_pr` is highly correlated with `M_2_yr` and 43 other fields	High correlation
`DC2_pr` is highly correlated with `M_2_yr` and 44 other fields	High correlation
`DC3_pr` is highly correlated with `M_2_yr` and 43 other fields	High correlation
`DC4_pr` is highly correlated with `M_2_yr` and 44 other fields	High correlation
`DC5_pr` is highly correlated with `M_2_yr` and 44 other fields	High correlation
`DC6_pr` is highly correlated with `M_2_yr` and 44 other fields	High correlation
`DC7_pr` is highly correlated with `M_2_yr` and 44 other fields	High correlation
`DK8_pr` is highly correlated with `M_2_yr` and 43 other fields	High correlation
`DK9_pr` is highly correlated with `M_2_yr` and 44 other fields	High correlation
`DK4_pr` is highly correlated with `M_2_yr` and 44 other fields	High correlation
`HE_THfh1` is highly correlated with `HE_THfh2` and 19 other fields	High correlation
`HE_THfh2` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_THfh3` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_HBfh1` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_HBfh2` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_HBfh3` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_fh` is highly correlated with `HE_HPfh1` and 7 other fields	High correlation
`HE_HPfh1` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_HPfh2` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_HPfh3` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_HLfh1` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_HLfh2` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_HLfh3` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_IHDfh1` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_IHDfh2` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_IHDfh3` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_STRfh1` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_STRfh2` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_STRfh3` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_DMfh1` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_DMfh2` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_DMfh3` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_HP` is highly correlated with `DI1_pr`	High correlation
`HE_obe` is highly correlated with `HE_wt` and 1 other fields	High correlation
`HE_hepaB` is highly correlated with `HE_hepaC` and 1 other fields	High correlation
`HE_hepaC` is highly correlated with `HE_hepaB` and 1 other fields	High correlation
`HE_anem` is highly correlated with `HE_hepaB` and 1 other fields	High correlation
`T_NQ_OCP` is highly correlated with `T_Q_VN`	High correlation
`T_Q_VN` is highly correlated with `T_NQ_OCP`	High correlation
`L_BR` is highly correlated with `L_LN` and 5 other fields	High correlation
`L_LN` is highly correlated with `L_BR` and 6 other fields	High correlation
`L_DN` is highly correlated with `L_BR` and 5 other fields	High correlation
`L_BR_FQ` is highly correlated with `L_BR` and 5 other fields	High correlation
`L_LN_FQ` is highly correlated with `L_BR` and 4 other fields	High correlation
`L_DN_FQ` is highly correlated with `L_BR` and 5 other fields	High correlation
`L_OUT_FQ` is highly correlated with `L_LN`	High correlation
`LS_1YR` is highly correlated with `L_BR` and 4 other fields	High correlation
`HE_ht` is highly correlated with `HE_wt` and 86 other fields	High correlation
`HE_wt` is highly correlated with `HE_ht` and 89 other fields	High correlation
`HE_BMI` is highly correlated with `HE_ht` and 86 other fields	High correlation
`M_2_yr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`M_2_rs` is highly correlated with `HE_ht` and 86 other fields	High correlation
`LQ_1EQL` is highly correlated with `HE_ht` and 93 other fields	High correlation
`LQ_2EQL` is highly correlated with `HE_ht` and 93 other fields	High correlation
`LQ_3EQL` is highly correlated with `HE_ht` and 93 other fields	High correlation
`LQ_4EQL` is highly correlated with `HE_ht` and 93 other fields	High correlation
`LQ_5EQL` is highly correlated with `HE_ht` and 93 other fields	High correlation
`BO1_1` is highly correlated with `HE_ht` and 92 other fields	High correlation
`BO2_1` is highly correlated with `HE_ht` and 92 other fields	High correlation
`BD1_11` is highly correlated with `HE_ht` and 92 other fields	High correlation
`BD2_1` is highly correlated with `HE_ht` and 92 other fields	High correlation
`BD2_31` is highly correlated with `HE_ht` and 92 other fields	High correlation
`dr_month` is highly correlated with `HE_ht` and 88 other fields	High correlation
`BP16_1` is highly correlated with `BP16_2`	High correlation
`BP16_2` is highly correlated with `BP16_1`	High correlation
`BP1` is highly correlated with `HE_ht` and 92 other fields	High correlation
`mh_stress` is highly correlated with `HE_ht` and 88 other fields	High correlation
`BS1_1` is highly correlated with `HE_ht` and 92 other fields	High correlation
`BS3_1` is highly correlated with `HE_ht` and 92 other fields	High correlation
`BS3_2` is highly correlated with `M_2_yr` and 51 other fields	High correlation
`BS3_3` is highly correlated with `HE_ht` and 92 other fields	High correlation
`BS12_47` is highly correlated with `HE_ht` and 92 other fields	High correlation
`BS8_2` is highly correlated with `HE_ht` and 92 other fields	High correlation
`BS9_2` is highly correlated with `HE_ht` and 92 other fields	High correlation
`BS13` is highly correlated with `HE_ht` and 92 other fields	High correlation
`sm_presnt` is highly correlated with `HE_ht` and 88 other fields	High correlation
`BE3_71` is highly correlated with `HE_ht` and 92 other fields	High correlation
`BE3_72` is highly correlated with `HE_ht` and 92 other fields	High correlation
`BE3_81` is highly correlated with `HE_ht` and 92 other fields	High correlation
`BE3_82` is highly correlated with `HE_ht` and 92 other fields	High correlation
`BE3_75` is highly correlated with `HE_ht` and 92 other fields	High correlation
`BE3_76` is highly correlated with `HE_ht` and 92 other fields	High correlation
`BE3_85` is highly correlated with `HE_ht` and 93 other fields	High correlation
`BE3_86` is highly correlated with `HE_ht` and 92 other fields	High correlation
`BE3_91` is highly correlated with `HE_ht` and 93 other fields	High correlation
`BE8_1` is highly correlated with `M_2_yr` and 57 other fields	High correlation
`BE3_31` is highly correlated with `M_2_yr` and 58 other fields	High correlation
`BE3_32` is highly correlated with `LQ_1EQL` and 8 other fields	High correlation
`BE5_1` is highly correlated with `HE_ht` and 92 other fields	High correlation
`pa_aerobic` is highly correlated with `dr_month` and 3 other fields	High correlation
`DI1_pr` is highly correlated with `HE_ht` and 91 other fields	High correlation
`DI2_pr` is highly correlated with `HE_ht` and 91 other fields	High correlation
`DI3_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DI4_pr` is highly correlated with `dr_month` and 3 other fields	High correlation
`DI5_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DM2_pr` is highly correlated with `HE_ht` and 91 other fields	High correlation
`DM3_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DM4_pr` is highly correlated with `HE_ht` and 91 other fields	High correlation
`DJ2_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DJ4_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DJ6_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DJ8_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DI6_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DF2_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DL1_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DE1_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DE2_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DH4_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DC1_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DC2_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DC3_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DC4_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DC5_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DC6_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DC7_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DK8_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DK9_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DK4_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`HE_Upro` is highly correlated with `HE_ht` and 88 other fields	High correlation
`HE_THfh1` is highly correlated with `HE_ht` and 89 other fields	High correlation
`HE_THfh2` is highly correlated with `HE_ht` and 89 other fields	High correlation
`HE_THfh3` is highly correlated with `HE_ht` and 89 other fields	High correlation
`HE_HBfh1` is highly correlated with `HE_ht` and 89 other fields	High correlation
`HE_HBfh2` is highly correlated with `HE_ht` and 89 other fields	High correlation
`HE_HBfh3` is highly correlated with `HE_ht` and 89 other fields	High correlation
`HE_fh` is highly correlated with `HE_ht` and 89 other fields	High correlation
`HE_HPfh1` is highly correlated with `HE_ht` and 89 other fields	High correlation
`HE_HPfh2` is highly correlated with `HE_ht` and 89 other fields	High correlation
`HE_HPfh3` is highly correlated with `HE_ht` and 89 other fields	High correlation
`HE_HLfh1` is highly correlated with `HE_ht` and 89 other fields	High correlation
`HE_HLfh2` is highly correlated with `HE_ht` and 89 other fields	High correlation
`HE_HLfh3` is highly correlated with `HE_ht` and 89 other fields	High correlation
`HE_IHDfh1` is highly correlated with `HE_ht` and 89 other fields	High correlation
`HE_IHDfh2` is highly correlated with `HE_ht` and 89 other fields	High correlation
`HE_IHDfh3` is highly correlated with `HE_ht` and 89 other fields	High correlation
`HE_STRfh1` is highly correlated with `HE_ht` and 89 other fields	High correlation
`HE_STRfh2` is highly correlated with `HE_ht` and 89 other fields	High correlation
`HE_STRfh3` is highly correlated with `HE_ht` and 89 other fields	High correlation
`HE_DMfh1` is highly correlated with `HE_ht` and 89 other fields	High correlation
`HE_DMfh2` is highly correlated with `HE_ht` and 89 other fields	High correlation
`HE_DMfh3` is highly correlated with `HE_ht` and 89 other fields	High correlation
`HE_HP` is highly correlated with `HE_ht` and 89 other fields	High correlation
`HE_obe` is highly correlated with `HE_ht` and 86 other fields	High correlation
`HE_DM_HbA1c` is highly correlated with `HE_HCHOL` and 4 other fields	High correlation
`HE_HCHOL` is highly correlated with `HE_DM_HbA1c` and 4 other fields	High correlation
`HE_HTG` is highly correlated with `HE_DM_HbA1c` and 4 other fields	High correlation
`HE_hepaB` is highly correlated with `HE_wt` and 85 other fields	High correlation
`HE_hepaC` is highly correlated with `HE_wt` and 85 other fields	High correlation
`HE_anem` is highly correlated with `HE_wt` and 85 other fields	High correlation
`T_NQ_OCP` is highly correlated with `T_Q_VN`	High correlation
`T_Q_VN` is highly correlated with `T_NQ_OCP`	High correlation
`L_BR` is highly correlated with `L_LN` and 6 other fields	High correlation
`L_LN` is highly correlated with `L_BR` and 6 other fields	High correlation
`L_DN` is highly correlated with `L_BR` and 6 other fields	High correlation
`L_BR_FQ` is highly correlated with `L_BR` and 6 other fields	High correlation
`L_LN_FQ` is highly correlated with `L_BR` and 6 other fields	High correlation
`L_DN_FQ` is highly correlated with `L_BR` and 6 other fields	High correlation
`L_OUT_FQ` is highly correlated with `L_BR` and 6 other fields	High correlation
`LS_1YR` is highly correlated with `L_BR` and 6 other fields	High correlation
`year` is highly correlated with `BP16_1` and 1 other fields	High correlation
`sex` is highly correlated with `HE_ht` and 2 other fields	High correlation
`HE_ht` is highly correlated with `sex`	High correlation
`HE_wt` is highly correlated with `HE_BMI` and 1 other fields	High correlation
`HE_BMI` is highly correlated with `HE_wt` and 1 other fields	High correlation
`M_2_yr` is highly correlated with `M_2_rs` and 32 other fields	High correlation
`M_2_rs` is highly correlated with `M_2_yr` and 33 other fields	High correlation
`LQ_1EQL` is highly correlated with `LQ_2EQL` and 25 other fields	High correlation
`LQ_2EQL` is highly correlated with `M_2_rs` and 35 other fields	High correlation
`LQ_3EQL` is highly correlated with `LQ_1EQL` and 31 other fields	High correlation
`LQ_4EQL` is highly correlated with `LQ_1EQL` and 21 other fields	High correlation
`LQ_5EQL` is highly correlated with `LQ_1EQL` and 32 other fields	High correlation
`BD2_1` is highly correlated with `BD2_31`	High correlation
`BD2_31` is highly correlated with `BD2_1`	High correlation
`BP16_1` is highly correlated with `year` and 1 other fields	High correlation
`BP16_2` is highly correlated with `year` and 1 other fields	High correlation
`BP1` is highly correlated with `mh_stress`	High correlation
`mh_stress` is highly correlated with `BP1`	High correlation
`BS1_1` is highly correlated with `sex` and 2 other fields	High correlation
`BS3_1` is highly correlated with `sex` and 2 other fields	High correlation
`BS3_2` is highly correlated with `BS1_1` and 4 other fields	High correlation
`BS3_3` is highly correlated with `BS3_2` and 18 other fields	High correlation
`BS12_47` is highly correlated with `BS3_2` and 17 other fields	High correlation
`BS9_2` is highly correlated with `BS3_3`	High correlation
`BS13` is highly correlated with `BS3_3` and 1 other fields	High correlation
`sm_presnt` is highly correlated with `BS3_2`	High correlation
`BE3_71` is highly correlated with `M_2_yr` and 41 other fields	High correlation
`BE3_72` is highly correlated with `M_2_yr` and 41 other fields	High correlation
`BE3_81` is highly correlated with `M_2_yr` and 39 other fields	High correlation
`BE3_82` is highly correlated with `M_2_yr` and 39 other fields	High correlation
`BE3_75` is highly correlated with `M_2_yr` and 41 other fields	High correlation
`BE3_76` is highly correlated with `M_2_yr` and 41 other fields	High correlation
`BE3_85` is highly correlated with `M_2_yr` and 34 other fields	High correlation
`BE3_86` is highly correlated with `M_2_yr` and 34 other fields	High correlation
`BE3_91` is highly correlated with `LQ_2EQL` and 20 other fields	High correlation
`BE3_32` is highly correlated with `BE3_91`	High correlation
`BE5_1` is highly correlated with `M_2_yr` and 29 other fields	High correlation
`DI1_pr` is highly correlated with `HE_HP`	High correlation
`DI3_pr` is highly correlated with `M_2_yr` and 34 other fields	High correlation
`DI5_pr` is highly correlated with `M_2_yr` and 38 other fields	High correlation
`DM2_pr` is highly correlated with `BE3_71` and 26 other fields	High correlation
`DM3_pr` is highly correlated with `M_2_yr` and 36 other fields	High correlation
`DM4_pr` is highly correlated with `M_2_yr` and 30 other fields	High correlation
`DJ2_pr` is highly correlated with `M_2_yr` and 35 other fields	High correlation
`DJ4_pr` is highly correlated with `M_2_yr` and 36 other fields	High correlation
`DJ6_pr` is highly correlated with `M_2_yr` and 36 other fields	High correlation
`DJ8_pr` is highly correlated with `M_2_yr` and 36 other fields	High correlation
`DI6_pr` is highly correlated with `M_2_yr` and 36 other fields	High correlation
`DF2_pr` is highly correlated with `M_2_yr` and 34 other fields	High correlation
`DL1_pr` is highly correlated with `M_2_yr` and 41 other fields	High correlation
`DE2_pr` is highly correlated with `M_2_yr` and 38 other fields	High correlation
`DH4_pr` is highly correlated with `M_2_yr` and 38 other fields	High correlation
`DC1_pr` is highly correlated with `M_2_yr` and 41 other fields	High correlation
`DC2_pr` is highly correlated with `M_2_yr` and 41 other fields	High correlation
`DC3_pr` is highly correlated with `M_2_yr` and 41 other fields	High correlation
`DC4_pr` is highly correlated with `M_2_yr` and 41 other fields	High correlation
`DC5_pr` is highly correlated with `M_2_yr` and 41 other fields	High correlation
`DC6_pr` is highly correlated with `M_2_yr` and 41 other fields	High correlation
`DC7_pr` is highly correlated with `M_2_yr` and 41 other fields	High correlation
`DK8_pr` is highly correlated with `M_2_yr` and 41 other fields	High correlation
`DK9_pr` is highly correlated with `M_2_yr` and 41 other fields	High correlation
`DK4_pr` is highly correlated with `M_2_yr` and 41 other fields	High correlation
`HE_THfh1` is highly correlated with `HE_THfh2` and 19 other fields	High correlation
`HE_THfh2` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_THfh3` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_HBfh1` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_HBfh2` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_HBfh3` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_fh` is highly correlated with `HE_HPfh1` and 6 other fields	High correlation
`HE_HPfh1` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_HPfh2` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_HPfh3` is highly correlated with `HE_THfh1` and 16 other fields	High correlation
`HE_HLfh1` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_HLfh2` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_HLfh3` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_IHDfh1` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_IHDfh2` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_IHDfh3` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_STRfh1` is highly correlated with `HE_THfh1` and 18 other fields	High correlation
`HE_STRfh2` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_STRfh3` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_DMfh1` is highly correlated with `HE_THfh1` and 18 other fields	High correlation
`HE_DMfh2` is highly correlated with `HE_THfh1` and 19 other fields	High correlation
`HE_DMfh3` is highly correlated with `HE_THfh1` and 17 other fields	High correlation
`HE_HP` is highly correlated with `DI1_pr`	High correlation
`HE_obe` is highly correlated with `HE_wt` and 1 other fields	High correlation
`HE_hepaB` is highly correlated with `HE_hepaC` and 1 other fields	High correlation
`HE_hepaC` is highly correlated with `HE_hepaB` and 1 other fields	High correlation
`HE_anem` is highly correlated with `HE_hepaB` and 1 other fields	High correlation
`T_NQ_OCP` is highly correlated with `T_Q_VN`	High correlation
`T_Q_VN` is highly correlated with `T_NQ_OCP`	High correlation
`L_BR` is highly correlated with `L_LN` and 5 other fields	High correlation
`L_LN` is highly correlated with `L_BR` and 4 other fields	High correlation
`L_DN` is highly correlated with `L_BR` and 4 other fields	High correlation
`L_BR_FQ` is highly correlated with `L_BR` and 4 other fields	High correlation
`L_LN_FQ` is highly correlated with `L_BR` and 4 other fields	High correlation
`L_DN_FQ` is highly correlated with `L_BR` and 5 other fields	High correlation
`LS_1YR` is highly correlated with `L_BR` and 1 other fields	High correlation
`BS8_2` is highly correlated with `LQ_4EQL` and 60 other fields	High correlation
`HE_hepaB` is highly correlated with `HE_hepaC` and 3 other fields	High correlation
`L_BR_FQ` is highly correlated with `L_DN_FQ` and 5 other fields	High correlation
`L_DN_FQ` is highly correlated with `L_BR_FQ` and 5 other fields	High correlation
`LQ_4EQL` is highly correlated with `BS8_2` and 62 other fields	High correlation
`DC2_pr` is highly correlated with `BS8_2` and 62 other fields	High correlation
`DI3_pr` is highly correlated with `BS8_2` and 62 other fields	High correlation
`LQ_1EQL` is highly correlated with `BS8_2` and 62 other fields	High correlation
`DJ8_pr` is highly correlated with `BS8_2` and 62 other fields	High correlation
`L_LN` is highly correlated with `L_BR_FQ` and 5 other fields	High correlation
`mh_stress` is highly correlated with `BS8_2` and 66 other fields	High correlation
`HE_DMfh3` is highly correlated with `mh_stress` and 30 other fields	High correlation
`DM4_pr` is highly correlated with `BS8_2` and 62 other fields	High correlation
`DJ6_pr` is highly correlated with `BS8_2` and 62 other fields	High correlation
`HE_HLfh3` is highly correlated with `mh_stress` and 30 other fields	High correlation
`HE_HLfh2` is highly correlated with `BS8_2` and 67 other fields	High correlation
`HE_fh` is highly correlated with `BS8_2` and 67 other fields	High correlation
`DM2_pr` is highly correlated with `BS8_2` and 62 other fields	High correlation
`M_2_yr` is highly correlated with `BS8_2` and 62 other fields	High correlation
`BS1_1` is highly correlated with `BS8_2` and 61 other fields	High correlation
`DM3_pr` is highly correlated with `BS8_2` and 62 other fields	High correlation
`L_DN` is highly correlated with `L_BR_FQ` and 5 other fields	High correlation
`DF2_pr` is highly correlated with `BS8_2` and 62 other fields	High correlation
`DJ2_pr` is highly correlated with `BS8_2` and 62 other fields	High correlation
`DI1_pr` is highly correlated with `BS8_2` and 60 other fields	High correlation
`sm_presnt` is highly correlated with `BS8_2` and 67 other fields	High correlation
`DE2_pr` is highly correlated with `BS8_2` and 62 other fields	High correlation
`BE3_81` is highly correlated with `BS8_2` and 69 other fields	High correlation
`DI5_pr` is highly correlated with `BS8_2` and 62 other fields	High correlation
`HE_THfh1` is highly correlated with `BS8_2` and 67 other fields	High correlation
`DC3_pr` is highly correlated with `BS8_2` and 62 other fields	High correlation
`HE_HBfh1` is highly correlated with `BS8_2` and 67 other fields	High correlation
`DC6_pr` is highly correlated with `BS8_2` and 62 other fields	High correlation
`HE_DMfh1` is highly correlated with `BS8_2` and 67 other fields	High correlation
`BO1_1` is highly correlated with `BS8_2` and 60 other fields	High correlation
`HE_hepaC` is highly correlated with `HE_hepaB` and 3 other fields	High correlation
`DK4_pr` is highly correlated with `BS8_2` and 62 other fields	High correlation
`LQ_3EQL` is highly correlated with `BS8_2` and 62 other fields	High correlation
`DC7_pr` is highly correlated with `BS8_2` and 62 other fields	High correlation
`DL1_pr` is highly correlated with `BS8_2` and 62 other fields	High correlation
`HE_HP` is highly correlated with `BS8_2` and 66 other fields	High correlation
`DI6_pr` is highly correlated with `BS8_2` and 62 other fields	High correlation
`BS13` is highly correlated with `BS8_2` and 67 other fields	High correlation
`DC1_pr` is highly correlated with `BS8_2` and 62 other fields	High correlation
`BE3_85` is highly correlated with `BS8_2` and 69 other fields	High correlation
`HE_IHDfh1` is highly correlated with `BS8_2` and 67 other fields	High correlation
`HE_HPfh2` is highly correlated with `BS8_2` and 67 other fields	High correlation
`LQ_5EQL` is highly correlated with `BS8_2` and 62 other fields	High correlation
`DI2_pr` is highly correlated with `BS8_2` and 61 other fields	High correlation
`DC5_pr` is highly correlated with `BS8_2` and 62 other fields	High correlation
`HE_anem` is highly correlated with `HE_hepaB` and 3 other fields	High correlation
`HE_HPfh3` is highly correlated with `mh_stress` and 30 other fields	High correlation
`DH4_pr` is highly correlated with `BS8_2` and 62 other fields	High correlation
`DJ4_pr` is highly correlated with `BS8_2` and 62 other fields	High correlation
`LQ_2EQL` is highly correlated with `BS8_2` and 62 other fields	High correlation
`BS9_2` is highly correlated with `BS8_2` and 60 other fields	High correlation
`HE_IHDfh3` is highly correlated with `mh_stress` and 30 other fields	High correlation
`HE_DM_HbA1c` is highly correlated with `HE_hepaB` and 5 other fields	High correlation
`DE1_pr` is highly correlated with `BS8_2` and 61 other fields	High correlation
`T_Q_VN` is highly correlated with `T_NQ_OCP`	High correlation
`HE_HBfh2` is highly correlated with `BS8_2` and 67 other fields	High correlation
`HE_THfh3` is highly correlated with `mh_stress` and 30 other fields	High correlation
`HE_HTG` is highly correlated with `HE_DM_HbA1c` and 1 other fields	High correlation
`BE3_91` is highly correlated with `BS8_2` and 69 other fields	High correlation
`HE_HBfh3` is highly correlated with `mh_stress` and 30 other fields	High correlation
`L_LN_FQ` is highly correlated with `L_BR_FQ` and 5 other fields	High correlation
`DK8_pr` is highly correlated with `BS8_2` and 62 other fields	High correlation
`DC4_pr` is highly correlated with `BS8_2` and 62 other fields	High correlation
`L_BR` is highly correlated with `L_BR_FQ` and 5 other fields	High correlation
`HE_THfh2` is highly correlated with `BS8_2` and 67 other fields	High correlation
`HE_DMfh2` is highly correlated with `BS8_2` and 67 other fields	High correlation
`DK9_pr` is highly correlated with `BS8_2` and 62 other fields	High correlation
`LS_1YR` is highly correlated with `L_BR_FQ` and 5 other fields	High correlation
`HE_STRfh3` is highly correlated with `mh_stress` and 30 other fields	High correlation
`BE3_71` is highly correlated with `BS8_2` and 69 other fields	High correlation
`HE_IHDfh2` is highly correlated with `BS8_2` and 67 other fields	High correlation
`dr_month` is highly correlated with `BS8_2` and 67 other fields	High correlation
`sex` is highly correlated with `BS1_1`	High correlation
`HE_STRfh1` is highly correlated with `BS8_2` and 67 other fields	High correlation
`T_NQ_OCP` is highly correlated with `T_Q_VN`	High correlation
`pa_aerobic` is highly correlated with `LQ_4EQL` and 35 other fields	High correlation
`HE_HLfh1` is highly correlated with `BS8_2` and 67 other fields	High correlation
`BE3_75` is highly correlated with `BS8_2` and 69 other fields	High correlation
`DI4_pr` is highly correlated with `LQ_4EQL` and 35 other fields	High correlation
`HE_STRfh2` is highly correlated with `BS8_2` and 67 other fields	High correlation
`HE_HPfh1` is highly correlated with `BS8_2` and 67 other fields	High correlation
`HE_HCHOL` is highly correlated with `HE_hepaB` and 5 other fields	High correlation
`year` is highly correlated with `T_Q_VN`	High correlation
`sex` is highly correlated with `BS1_1`	High correlation
`HE_ht` is highly correlated with `HE_wt` and 93 other fields	High correlation
`HE_wt` is highly correlated with `HE_ht` and 89 other fields	High correlation
`HE_BMI` is highly correlated with `HE_ht` and 89 other fields	High correlation
`M_2_yr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`M_2_rs` is highly correlated with `HE_ht` and 94 other fields	High correlation
`LQ_1EQL` is highly correlated with `HE_ht` and 92 other fields	High correlation
`LQ_2EQL` is highly correlated with `HE_ht` and 92 other fields	High correlation
`LQ_3EQL` is highly correlated with `HE_ht` and 92 other fields	High correlation
`LQ_4EQL` is highly correlated with `HE_ht` and 92 other fields	High correlation
`LQ_5EQL` is highly correlated with `HE_ht` and 92 other fields	High correlation
`BO1_1` is highly correlated with `HE_ht` and 91 other fields	High correlation
`BO2_1` is highly correlated with `HE_ht` and 90 other fields	High correlation
`BD1_11` is highly correlated with `HE_ht` and 90 other fields	High correlation
`BD2_1` is highly correlated with `HE_ht` and 90 other fields	High correlation
`BD2_31` is highly correlated with `HE_ht` and 90 other fields	High correlation
`dr_month` is highly correlated with `HE_ht` and 81 other fields	High correlation
`BP16_1` is highly correlated with `BP16_2` and 7 other fields	High correlation
`BP16_2` is highly correlated with `BP16_1` and 2 other fields	High correlation
`BP1` is highly correlated with `HE_ht` and 90 other fields	High correlation
`mh_stress` is highly correlated with `HE_ht` and 80 other fields	High correlation
`BS1_1` is highly correlated with `sex` and 92 other fields	High correlation
`BS3_1` is highly correlated with `HE_ht` and 90 other fields	High correlation
`BS3_2` is highly correlated with `HE_BMI` and 46 other fields	High correlation
`BS3_3` is highly correlated with `HE_ht` and 93 other fields	High correlation
`BS12_47` is highly correlated with `HE_ht` and 90 other fields	High correlation
`BS8_2` is highly correlated with `HE_ht` and 91 other fields	High correlation
`BS9_2` is highly correlated with `HE_ht` and 91 other fields	High correlation
`BS13` is highly correlated with `HE_ht` and 93 other fields	High correlation
`sm_presnt` is highly correlated with `HE_ht` and 81 other fields	High correlation
`BE3_71` is highly correlated with `HE_ht` and 95 other fields	High correlation
`BE3_72` is highly correlated with `HE_ht` and 90 other fields	High correlation
`BE3_81` is highly correlated with `HE_ht` and 95 other fields	High correlation
`BE3_82` is highly correlated with `HE_ht` and 90 other fields	High correlation
`BE3_75` is highly correlated with `HE_ht` and 95 other fields	High correlation
`BE3_76` is highly correlated with `HE_ht` and 90 other fields	High correlation
`BE3_85` is highly correlated with `HE_ht` and 95 other fields	High correlation
`BE3_86` is highly correlated with `HE_ht` and 90 other fields	High correlation
`BE3_91` is highly correlated with `HE_ht` and 95 other fields	High correlation
`BE8_1` is highly correlated with `HE_ht` and 95 other fields	High correlation
`BE3_31` is highly correlated with `HE_ht` and 96 other fields	High correlation
`BE3_32` is highly correlated with `HE_ht` and 94 other fields	High correlation
`BE5_1` is highly correlated with `HE_ht` and 90 other fields	High correlation
`pa_aerobic` is highly correlated with `HE_ht` and 48 other fields	High correlation
`DI1_pr` is highly correlated with `HE_ht` and 89 other fields	High correlation
`DI2_pr` is highly correlated with `HE_ht` and 90 other fields	High correlation
`DI3_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DI4_pr` is highly correlated with `HE_BMI` and 72 other fields	High correlation
`DI5_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DM2_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DM3_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DM4_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DJ2_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DJ4_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DJ6_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DJ8_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DI6_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DF2_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DL1_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DE1_pr` is highly correlated with `HE_ht` and 90 other fields	High correlation
`DE2_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DH4_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DC1_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DC2_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DC3_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DC4_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DC5_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DC6_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DC7_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`DK8_pr` is highly correlated with `HE_ht` and 93 other fields	High correlation
`DK9_pr` is highly correlated with `HE_ht` and 93 other fields	High correlation
`DK4_pr` is highly correlated with `HE_ht` and 92 other fields	High correlation
`HE_Upro` is highly correlated with `HE_BMI` and 74 other fields	High correlation
`HE_THfh1` is highly correlated with `HE_ht` and 93 other fields	High correlation
`HE_THfh2` is highly correlated with `HE_ht` and 93 other fields	High correlation
`HE_THfh3` is highly correlated with `HE_ht` and 88 other fields	High correlation
`HE_HBfh1` is highly correlated with `HE_ht` and 93 other fields	High correlation
`HE_HBfh2` is highly correlated with `HE_ht` and 93 other fields	High correlation
`HE_HBfh3` is highly correlated with `HE_ht` and 88 other fields	High correlation
`HE_fh` is highly correlated with `HE_ht` and 93 other fields	High correlation
`HE_HPfh1` is highly correlated with `HE_ht` and 93 other fields	High correlation
`HE_HPfh2` is highly correlated with `HE_ht` and 93 other fields	High correlation
`HE_HPfh3` is highly correlated with `HE_ht` and 88 other fields	High correlation
`HE_HLfh1` is highly correlated with `HE_ht` and 93 other fields	High correlation
`HE_HLfh2` is highly correlated with `HE_ht` and 93 other fields	High correlation
`HE_HLfh3` is highly correlated with `HE_ht` and 88 other fields	High correlation
`HE_IHDfh1` is highly correlated with `HE_ht` and 93 other fields	High correlation
`HE_IHDfh2` is highly correlated with `HE_ht` and 93 other fields	High correlation
`HE_IHDfh3` is highly correlated with `HE_ht` and 88 other fields	High correlation
`HE_STRfh1` is highly correlated with `HE_ht` and 93 other fields	High correlation
`HE_STRfh2` is highly correlated with `HE_ht` and 93 other fields	High correlation
`HE_STRfh3` is highly correlated with `HE_ht` and 88 other fields	High correlation
`HE_DMfh1` is highly correlated with `HE_ht` and 93 other fields	High correlation
`HE_DMfh2` is highly correlated with `HE_ht` and 93 other fields	High correlation
`HE_DMfh3` is highly correlated with `HE_ht` and 88 other fields	High correlation
`HE_HP` is highly correlated with `HE_ht` and 92 other fields	High correlation
`HE_obe` is highly correlated with `HE_ht` and 89 other fields	High correlation
`HE_DM_HbA1c` is highly correlated with `HE_BMI` and 44 other fields	High correlation
`HE_HCHOL` is highly correlated with `HE_ht` and 13 other fields	High correlation
`HE_HTG` is highly correlated with `M_2_rs` and 10 other fields	High correlation
`HE_hepaB` is highly correlated with `HE_ht` and 13 other fields	High correlation
`HE_hepaC` is highly correlated with `HE_ht` and 13 other fields	High correlation
`HE_anem` is highly correlated with `HE_ht` and 12 other fields	High correlation
`T_NQ_OCP` is highly correlated with `BO2_1` and 36 other fields	High correlation
`T_Q_VN` is highly correlated with `year` and 39 other fields	High correlation
`L_BR` is highly correlated with `L_LN` and 6 other fields	High correlation
`L_LN` is highly correlated with `L_BR` and 6 other fields	High correlation
`L_DN` is highly correlated with `L_BR` and 6 other fields	High correlation
`L_BR_FQ` is highly correlated with `L_BR` and 6 other fields	High correlation
`L_LN_FQ` is highly correlated with `L_BR` and 6 other fields	High correlation
`L_DN_FQ` is highly correlated with `L_BR` and 6 other fields	High correlation
`L_OUT_FQ` is highly correlated with `L_BR` and 6 other fields	High correlation
`LS_1YR` is highly correlated with `L_BR` and 6 other fields	High correlation
`ID` is uniformly distributed	Uniform
`ID` has unique values	Unique
`BE3_32` has 2858 (34.0%) zeros	Zeros
`HE_Upro` has 6561 (78.1%) zeros	Zeros

Reproduction

Analysis started	2022-04-28 03:38:47.213338
Analysis finished	2022-04-28 03:42:00.961213
Duration	3 minutes and 13.75 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

ID
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	8403
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

b'E756235701'	1
b'A612237401'	1
b'C751247602'	1
b'N653268001'	1
b'C752361501'	1
Other values (8398)	8398

Length

Max length	13
Median length	13
Mean length	13
Min length	13

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8403 ?
Unique (%)	100.0%

Sample

1st row	b'A651228902'
2nd row	b'A651417601'
3rd row	b'A652228901'
4th row	b'A653184701'
5th row	b'A653235705'

Common Values

Value	Count	Frequency (%)
b'E756235701'	1	< 0.1%
b'A612237401'	1	< 0.1%
b'C751247602'	1	< 0.1%
b'N653268001'	1	< 0.1%
b'C752361501'	1	< 0.1%
b'H809327501'	1	< 0.1%
b'N805361503'	1	< 0.1%
b'H804322401'	1	< 0.1%
b'N601186402'	1	< 0.1%
b'E652339402'	1	< 0.1%
Other values (8393)	8393	99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
b'c607342801	1	< 0.1%
b'a714023802	1	< 0.1%
b'b652247602	1	< 0.1%
b'm607368302	1	< 0.1%
b'a730029102	1	< 0.1%
b'o659194901	1	< 0.1%
b'n658366602	1	< 0.1%
b'a604415902	1	< 0.1%
b'n704027102	1	< 0.1%
b'b758273101	1	< 0.1%
Other values (8393)	8393	99.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

year
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

2019	1735
2020	1712
2017	1671
2018	1653
2016	1632

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2016
2nd row	2016
3rd row	2016
4th row	2016
5th row	2016

Common Values

Value	Count	Frequency (%)
2019	1735	20.6%
2020	1712	20.4%
2017	1671	19.9%
2018	1653	19.7%
2016	1632	19.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2019	1735	20.6%
2020	1712	20.4%
2017	1671	19.9%
2018	1653	19.7%
2016	1632	19.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

sex
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

2	4785
1	3618

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	1
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	4785	56.9%
1	3618	43.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	4785	56.9%
1	3618	43.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

age
Real number (ℝ_≥0)

Distinct	16
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	73.0092824

Minimum	65
Maximum	80
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.8 KiB

Quantile statistics

Minimum	65
5-th percentile	65
Q1	69
median	73
Q3	78
95-th percentile	80
Maximum	80
Range	15
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	5.108991518
Coefficient of variation (CV)	0.06997728714
Kurtosis	-1.35643342
Mean	73.0092824
Median Absolute Deviation (MAD)	5
Skewness	-0.004627055643
Sum	613497
Variance	26.10179433
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
80	1604	19.1%
65	588	7.0%
69	528	6.3%
66	525	6.2%
70	503	6.0%
68	491	5.8%
67	491	5.8%
71	473	5.6%
72	469	5.6%
73	451	5.4%
Other values (6)	2280	27.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
65	588	7.0%
66	525	6.2%
67	491	5.8%
68	491	5.8%
69	528	6.3%
70	503	6.0%
71	473	5.6%
72	469	5.6%
73	451	5.4%
74	406	4.8%

Value	Count	Frequency (%)
80	1604	19.1%
79	302	3.6%
78	352	4.2%
77	435	5.2%
76	378	4.5%
75	407	4.8%
74	406	4.8%
73	451	5.4%
72	469	5.6%
71	473	5.6%

HE_ht
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	57
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	146.6961799

Minimum	-99
Maximum	184
Zeros	0
Zeros (%)	0.0%
Negative	354
Negative (%)	4.2%
Memory size	65.8 KiB

Quantile statistics

Minimum	-99
5-th percentile	138
Q1	150
median	156
Q3	164
95-th percentile	172
Maximum	184
Range	283
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	52.25791529
Coefficient of variation (CV)	0.3562322844
Kurtosis	17.61242709
Mean	146.6961799
Median Absolute Deviation (MAD)	7
Skewness	-4.353784885
Sum	1232688
Variance	2730.88971
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
155	374	4.5%
-99	354	4.2%
153	332	4.0%
154	331	3.9%
151	326	3.9%
149	315	3.7%
152	307	3.7%
150	304	3.6%
156	302	3.6%
160	287	3.4%
Other values (47)	5171	61.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	354	4.2%
128	2	< 0.1%
130	3	< 0.1%
131	2	< 0.1%
132	3	< 0.1%
133	2	< 0.1%
134	9	0.1%
135	5	0.1%
136	8	0.1%
137	14	0.2%

Value	Count	Frequency (%)
184	1	< 0.1%
183	3	< 0.1%
182	3	< 0.1%
181	4	< 0.1%
180	13	0.2%
179	12	0.1%
178	26	0.3%
177	31	0.4%
176	33	0.4%
175	70	0.8%

HE_wt
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	73
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	55.13828395

Minimum	-99
Maximum	105
Zeros	0
Zeros (%)	0.0%
Negative	245
Negative (%)	2.9%
Memory size	65.8 KiB

Quantile statistics

Minimum	-99
5-th percentile	41
Q1	52
median	59
Q3	66
95-th percentile	77
Maximum	105
Range	204
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	28.5098431
Coefficient of variation (CV)	0.5170607618
Kurtosis	22.00841212
Mean	55.13828395
Median Absolute Deviation (MAD)	7
Skewness	-4.532253678
Sum	463327
Variance	812.8111538
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
61	357	4.2%
58	339	4.0%
54	334	4.0%
55	321	3.8%
60	307	3.7%
62	306	3.6%
56	301	3.6%
57	299	3.6%
64	295	3.5%
63	287	3.4%
Other values (63)	5257	62.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	245	2.9%
31	2	< 0.1%
32	3	< 0.1%
33	5	0.1%
34	7	0.1%
35	16	0.2%
36	11	0.1%
37	20	0.2%
38	26	0.3%
39	28	0.3%

Value	Count	Frequency (%)
105	1	< 0.1%
104	1	< 0.1%
102	2	< 0.1%
99	1	< 0.1%
98	2	< 0.1%
97	1	< 0.1%
96	2	< 0.1%
95	1	< 0.1%
94	1	< 0.1%
93	6	0.1%

HE_BMI
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	30
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18.43674878

Minimum	-99
Maximum	41
Zeros	0
Zeros (%)	0.0%
Negative	355
Negative (%)	4.2%
Memory size	65.8 KiB

Quantile statistics

Minimum	-99
5-th percentile	16
Q1	21
median	23
Q3	25
95-th percentile	29
Maximum	41
Range	140
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	24.86519507
Coefficient of variation (CV)	1.3486757
Kurtosis	18.04455285
Mean	18.43674878
Median Absolute Deviation (MAD)	2
Skewness	-4.432891109
Sum	154924
Variance	618.2779257
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
24	1047	12.5%
23	1025	12.2%
22	994	11.8%
25	939	11.2%
21	753	9.0%
26	698	8.3%
20	523	6.2%
27	491	5.8%
19	370	4.4%
-99	355	4.2%
Other values (20)	1208	14.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	355	4.2%
11	1	< 0.1%
13	1	< 0.1%
14	5	0.1%
15	22	0.3%
16	46	0.5%
17	80	1.0%
18	203	2.4%
19	370	4.4%
20	523	6.2%

Value	Count	Frequency (%)
41	1	< 0.1%
39	1	< 0.1%
38	3	< 0.1%
37	2	< 0.1%
36	9	0.1%
35	13	0.2%
34	14	0.2%
33	27	0.3%
32	61	0.7%
31	70	0.8%

M_2_yr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

2	6619
1	732
9	698
-99	231
3	123

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
2	6619	78.8%
1	732	8.7%
9	698	8.3%
-99	231	2.7%
3	123	1.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	6619	78.8%
1	732	8.7%
9	698	8.3%
99	231	2.7%
3	123	1.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

M_2_rs
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	76.38795668

Minimum	-99
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	231
Negative (%)	2.7%
Memory size	65.8 KiB

Quantile statistics

Minimum	-99
5-th percentile	2
Q1	88
median	88
Q3	88
95-th percentile	99
Maximum	99
Range	198
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	38.26498904
Coefficient of variation (CV)	0.5009296059
Kurtosis	10.33612592
Mean	76.38795668
Median Absolute Deviation (MAD)	0
Skewness	-3.221380133
Sum	641888
Variance	1464.209386
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
88	6742	80.2%
99	699	8.3%
3	249	3.0%
-99	231	2.7%
2	174	2.1%
1	139	1.7%
4	64	0.8%
8	53	0.6%
7	42	0.5%
5	8	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	231	2.7%
1	139	1.7%
2	174	2.1%
3	249	3.0%
4	64	0.8%
5	8	0.1%
6	2	< 0.1%
7	42	0.5%
8	53	0.6%
88	6742	80.2%

Value	Count	Frequency (%)
99	699	8.3%
88	6742	80.2%
8	53	0.6%
7	42	0.5%
6	2	< 0.1%
5	8	0.1%
4	64	0.8%
3	249	3.0%
2	174	2.1%
1	139	1.7%

LQ_1EQL
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

1	4701
2	2629
9	715
-99	231
3	127

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	1
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
1	4701	55.9%
2	2629	31.3%
9	715	8.5%
-99	231	2.7%
3	127	1.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	4701	55.9%
2	2629	31.3%
9	715	8.5%
99	231	2.7%
3	127	1.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

LQ_2EQL
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

1	6677
2	718
9	715
-99	231
3	62

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	6677	79.5%
2	718	8.5%
9	715	8.5%
-99	231	2.7%
3	62	0.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	6677	79.5%
2	718	8.5%
9	715	8.5%
99	231	2.7%
3	62	0.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

LQ_3EQL
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

1	6027
2	1322
9	716
-99	231
3	107

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
1	6027	71.7%
2	1322	15.7%
9	716	8.5%
-99	231	2.7%
3	107	1.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	6027	71.7%
2	1322	15.7%
9	716	8.5%
99	231	2.7%
3	107	1.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

LQ_4EQL
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

1	4757
2	2273
9	721
3	421
-99	231

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	1
4th row	3
5th row	2

Common Values

Value	Count	Frequency (%)
1	4757	56.6%
2	2273	27.0%
9	721	8.6%
3	421	5.0%
-99	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	4757	56.6%
2	2273	27.0%
9	721	8.6%
3	421	5.0%
99	231	2.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

LQ_5EQL
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

1	6366
2	980
9	723
-99	231
3	103

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	1
4th row	3
5th row	1

Common Values

Value	Count	Frequency (%)
1	6366	75.8%
2	980	11.7%
9	723	8.6%
-99	231	2.7%
3	103	1.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	6366	75.8%
2	980	11.7%
9	723	8.6%
99	231	2.7%
3	103	1.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BO1_1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

1	5911
2	1206
3	880
-99	231
9	175

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	9
3rd row	1
4th row	3
5th row	1

Common Values

Value	Count	Frequency (%)
1	5911	70.3%
2	1206	14.4%
3	880	10.5%
-99	231	2.7%
9	175	2.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	5911	70.3%
2	1206	14.4%
3	880	10.5%
99	231	2.7%
9	175	2.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BO2_1
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.1435201714

Minimum	-99
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	231
Negative (%)	2.7%
Memory size	65.8 KiB

Quantile statistics

Minimum	-99
5-th percentile	1
Q1	1
median	4
Q3	4
95-th percentile	4
Maximum	9
Range	108
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	16.73774822
Coefficient of variation (CV)	116.6229671
Kurtosis	30.87129501
Mean	0.1435201714
Median Absolute Deviation (MAD)	1
Skewness	-5.706035424
Sum	1206
Variance	280.1522155
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
4	4066	48.4%
1	2040	24.3%
2	1345	16.0%
3	568	6.8%
-99	231	2.7%
9	153	1.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	231	2.7%
1	2040	24.3%
2	1345	16.0%
3	568	6.8%
4	4066	48.4%
9	153	1.8%

Value	Count	Frequency (%)
9	153	1.8%
4	4066	48.4%
3	568	6.8%
2	1345	16.0%
1	2040	24.3%
-99	231	2.7%

BD1_11
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.409972629

Minimum	-99
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	231
Negative (%)	2.7%
Memory size	65.8 KiB

Quantile statistics

Minimum	-99
5-th percentile	1
Q1	1
median	4
Q3	8
95-th percentile	8
Maximum	9
Range	108
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	17.10460642
Coefficient of variation (CV)	12.13116203
Kurtosis	29.67913573
Mean	1.409972629
Median Absolute Deviation (MAD)	3
Skewness	-5.544795895
Sum	11848
Variance	292.5675606
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
8	2084	24.8%
1	2017	24.0%
2	1191	14.2%
4	929	11.1%
5	672	8.0%
6	589	7.0%
3	529	6.3%
-99	231	2.7%
9	161	1.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	231	2.7%
1	2017	24.0%
2	1191	14.2%
3	529	6.3%
4	929	11.1%
5	672	8.0%
6	589	7.0%
8	2084	24.8%
9	161	1.9%

Value	Count	Frequency (%)
9	161	1.9%
8	2084	24.8%
6	589	7.0%
5	672	8.0%
4	929	11.1%
3	529	6.3%
2	1191	14.2%
1	2017	24.0%
-99	231	2.7%

BD2_1
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.222420564

Minimum	-99
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	231
Negative (%)	2.7%
Memory size	65.8 KiB

Quantile statistics

Minimum	-99
5-th percentile	1
Q1	1
median	8
Q3	8
95-th percentile	8
Maximum	9
Range	108
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	17.30782294
Coefficient of variation (CV)	7.787825231
Kurtosis	29.19218158
Mean	2.222420564
Median Absolute Deviation (MAD)	1
Skewness	-5.481556593
Sum	18675
Variance	299.5607351
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
8	4101	48.8%
1	2093	24.9%
2	931	11.1%
4	378	4.5%
3	366	4.4%
-99	231	2.7%
9	164	2.0%
5	139	1.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	231	2.7%
1	2093	24.9%
2	931	11.1%
3	366	4.4%
4	378	4.5%
5	139	1.7%
8	4101	48.8%
9	164	2.0%

Value	Count	Frequency (%)
9	164	2.0%
8	4101	48.8%
5	139	1.7%
4	378	4.5%
3	366	4.4%
2	931	11.1%
1	2093	24.9%
-99	231	2.7%

BD2_31
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.249196715

Minimum	-99
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	231
Negative (%)	2.7%
Memory size	65.8 KiB

Quantile statistics

Minimum	-99
5-th percentile	1
Q1	1
median	8
Q3	8
95-th percentile	8
Maximum	9
Range	108
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	17.31296206
Coefficient of variation (CV)	7.697397894
Kurtosis	29.18790072
Mean	2.249196715
Median Absolute Deviation (MAD)	1
Skewness	-5.48125259
Sum	18900
Variance	299.7386553
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
8	4101	48.8%
1	2352	28.0%
2	479	5.7%
4	441	5.2%
3	386	4.6%
5	247	2.9%
-99	231	2.7%
9	166	2.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	231	2.7%
1	2352	28.0%
2	479	5.7%
3	386	4.6%
4	441	5.2%
5	247	2.9%
8	4101	48.8%
9	166	2.0%

Value	Count	Frequency (%)
9	166	2.0%
8	4101	48.8%
5	247	2.9%
4	441	5.2%
3	386	4.6%
2	479	5.7%
1	2352	28.0%
-99	231	2.7%

dr_month
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	5292
1	2719
-99	392

Length

Max length	3
Median length	1
Mean length	1.093300012
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	-99
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	5292	63.0%
1	2719	32.4%
-99	392	4.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	5292	63.0%
1	2719	32.4%
99	392	4.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BP16_1
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	83
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	491.0330834

Minimum	-99
Maximum	9999
Zeros	0
Zeros (%)	0.0%
Negative	325
Negative (%)	3.9%
Memory size	65.8 KiB

Quantile statistics

Minimum	-99
5-th percentile	3
Q1	7
median	330
Q3	450
95-th percentile	600
Maximum	9999
Range	10098
Interquartile range (IQR)	443

Descriptive statistics

Standard deviation	1571.715203
Coefficient of variation (CV)	3.200833621
Kurtosis	31.93562129
Mean	491.0330834
Median Absolute Deviation (MAD)	240
Skewness	5.757713276
Sum	4126151
Variance	2470288.678
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
420	816	9.7%
480	766	9.1%
7	718	8.5%
6	626	7.4%
9	596	7.1%
360	538	6.4%
8	521	6.2%
5	494	5.9%
540	391	4.7%
450	369	4.4%
Other values (73)	2568	30.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	325	3.9%
1	3	< 0.1%
2	15	0.2%
3	79	0.9%
4	214	2.5%
5	494	5.9%
6	626	7.4%
7	718	8.5%
8	521	6.2%
9	596	7.1%

Value	Count	Frequency (%)
9999	219	2.6%
840	1	< 0.1%
780	2	< 0.1%
720	9	0.1%
705	1	< 0.1%
700	1	< 0.1%
690	5	0.1%
670	1	< 0.1%
660	51	0.6%
630	29	0.3%

BP16_2
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	84
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	500.2515768

Minimum	-99
Maximum	9999
Zeros	0
Zeros (%)	0.0%
Negative	324
Negative (%)	3.9%
Memory size	65.8 KiB

Quantile statistics

Minimum	-99
5-th percentile	4
Q1	7
median	330
Q3	480
95-th percentile	600
Maximum	9999
Range	10098
Interquartile range (IQR)	473

Descriptive statistics

Standard deviation	1585.222719
Coefficient of variation (CV)	3.16885102
Kurtosis	31.2437569
Mean	500.2515768
Median Absolute Deviation (MAD)	270
Skewness	5.697138926
Sum	4203614
Variance	2512931.07
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
480	825	9.8%
420	802	9.5%
7	720	8.6%
9	610	7.3%
6	600	7.1%
8	542	6.5%
360	499	5.9%
5	468	5.6%
540	439	5.2%
450	329	3.9%
Other values (74)	2569	30.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	324	3.9%
1	3	< 0.1%
2	15	0.2%
3	71	0.8%
4	207	2.5%
5	468	5.6%
6	600	7.1%
7	720	8.6%
8	542	6.5%
9	610	7.3%

Value	Count	Frequency (%)
9999	223	2.7%
1140	1	< 0.1%
840	1	< 0.1%
780	5	0.1%
750	1	< 0.1%
720	17	0.2%
705	1	< 0.1%
700	1	< 0.1%
690	9	0.1%
670	1	< 0.1%

BP1
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.4046173985

Minimum	-99
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	231
Negative (%)	2.7%
Memory size	65.8 KiB

Quantile statistics

Minimum	-99
5-th percentile	1
Q1	3
median	3
Q3	4
95-th percentile	4
Maximum	9
Range	108
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	16.75382302
Coefficient of variation (CV)	41.40658083
Kurtosis	31.09790404
Mean	0.4046173985
Median Absolute Deviation (MAD)	1
Skewness	-5.736138952
Sum	3400
Variance	280.6905857
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	4073	48.5%
4	2419	28.8%
2	1182	14.1%
1	309	3.7%
-99	231	2.7%
9	189	2.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	231	2.7%
1	309	3.7%
2	1182	14.1%
3	4073	48.5%
4	2419	28.8%
9	189	2.2%

Value	Count	Frequency (%)
9	189	2.2%
4	2419	28.8%
3	4073	48.5%
2	1182	14.1%
1	309	3.7%
-99	231	2.7%

mh_stress
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	6492
1	1491
-99	420

Length

Max length	3
Median length	1
Mean length	1.099964298
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	-99
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	6492	77.3%
1	1491	17.7%
-99	420	5.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	6492	77.3%
1	1491	17.7%
99	420	5.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BS1_1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

3	4996
2	2940
-99	231
9	175
1	61

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	9
3rd row	2
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	4996	59.5%
2	2940	35.0%
-99	231	2.7%
9	175	2.1%
1	61	0.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3	4996	59.5%
2	2940	35.0%
99	231	2.7%
9	175	2.1%
1	61	0.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BS3_1
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.126859455

Minimum	-99
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	231
Negative (%)	2.7%
Memory size	65.8 KiB

Quantile statistics

Minimum	-99
5-th percentile	1
Q1	3
median	8
Q3	8
95-th percentile	8
Maximum	9
Range	108
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	17.37750603
Coefficient of variation (CV)	5.557495077
Kurtosis	29.82373127
Mean	3.126859455
Median Absolute Deviation (MAD)	0
Skewness	-5.568224848
Sum	26275
Variance	301.9777158
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
8	4996	59.5%
3	2256	26.8%
1	671	8.0%
-99	231	2.7%
9	177	2.1%
2	72	0.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	231	2.7%
1	671	8.0%
2	72	0.9%
3	2256	26.8%
8	4996	59.5%
9	177	2.1%

Value	Count	Frequency (%)
9	177	2.1%
8	4996	59.5%
3	2256	26.8%
2	72	0.9%
1	671	8.0%
-99	231	2.7%

BS3_2
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	26
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	785.7352136

Minimum	-99
Maximum	999
Zeros	0
Zeros (%)	0.0%
Negative	231
Negative (%)	2.7%
Memory size	65.8 KiB

Quantile statistics

Minimum	-99
5-th percentile	7
Q1	888
median	888
Q3	888
95-th percentile	888
Maximum	999
Range	1098
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	290.639371
Coefficient of variation (CV)	0.3698948017
Kurtosis	3.831313895
Mean	785.7352136
Median Absolute Deviation (MAD)	0
Skewness	-2.400038107
Sum	6602533
Variance	84471.24397
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
888	7252	86.3%
-99	231	2.7%
10	189	2.2%
999	177	2.1%
20	174	2.1%
5	61	0.7%
15	61	0.7%
7	56	0.7%
3	40	0.5%
6	29	0.3%
Other values (16)	133	1.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	231	2.7%
1	14	0.2%
2	22	0.3%
3	40	0.5%
4	20	0.2%
5	61	0.7%
6	29	0.3%
7	56	0.7%
8	5	0.1%
9	4	< 0.1%

Value	Count	Frequency (%)
999	177	2.1%
888	7252	86.3%
40	2	< 0.1%
30	16	0.2%
26	1	< 0.1%
25	5	0.1%
20	174	2.1%
18	2	< 0.1%
17	6	0.1%
16	3	< 0.1%

BS3_3
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	20
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	82.43056051

Minimum	-99
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	231
Negative (%)	2.7%
Memory size	65.8 KiB

Quantile statistics

Minimum	-99
5-th percentile	88
Q1	88
median	88
Q3	88
95-th percentile	88
Maximum	99
Range	198
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	31.37410891
Coefficient of variation (CV)	0.3806125873
Kurtosis	28.01515933
Mean	82.43056051
Median Absolute Deviation (MAD)	0
Skewness	-5.414361181
Sum	692664
Variance	984.3347098
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
88	7923	94.3%
-99	231	2.7%
99	177	2.1%
20	17	0.2%
10	11	0.1%
5	10	0.1%
7	7	0.1%
2	6	0.1%
6	3	< 0.1%
4	3	< 0.1%
Other values (10)	15	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	231	2.7%
1	2	< 0.1%
2	6	0.1%
3	3	< 0.1%
4	3	< 0.1%
5	10	0.1%
6	3	< 0.1%
7	7	0.1%
9	1	< 0.1%
10	11	0.1%

Value	Count	Frequency (%)
99	177	2.1%
88	7923	94.3%
30	1	< 0.1%
25	2	< 0.1%
24	1	< 0.1%
20	17	0.2%
18	1	< 0.1%
15	1	< 0.1%
14	1	< 0.1%
12	2	< 0.1%

BS12_47
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.011424491

Minimum	-99
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	231
Negative (%)	2.7%
Memory size	65.8 KiB

Quantile statistics

Minimum	-99
5-th percentile	8
Q1	8
median	8
Q3	8
95-th percentile	8
Maximum	9
Range	108
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	17.50049104
Coefficient of variation (CV)	3.492119072
Kurtosis	31.32891731
Mean	5.011424491
Median Absolute Deviation (MAD)	0
Skewness	-5.768442932
Sum	42111
Variance	306.2671868
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
8	7899	94.0%
-99	231	2.7%
9	176	2.1%
2	55	0.7%
3	26	0.3%
1	16	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	231	2.7%
1	16	0.2%
2	55	0.7%
3	26	0.3%
8	7899	94.0%
9	176	2.1%

Value	Count	Frequency (%)
9	176	2.1%
8	7899	94.0%
3	26	0.3%
2	55	0.7%
1	16	0.2%
-99	231	2.7%

BS8_2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	5282
2	2496
-99	231
1	216
9	178

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8
2nd row	9
3rd row	2
4th row	8
5th row	8

Common Values

Value	Count	Frequency (%)
8	5282	62.9%
2	2496	29.7%
-99	231	2.7%
1	216	2.6%
9	178	2.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	5282	62.9%
2	2496	29.7%
99	231	2.7%
1	216	2.6%
9	178	2.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BS9_2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

3	6954
2	823
-99	231
1	221
9	174

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	9
3rd row	3
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	6954	82.8%
2	823	9.8%
-99	231	2.7%
1	221	2.6%
9	174	2.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3	6954	82.8%
2	823	9.8%
99	231	2.7%
1	221	2.6%
9	174	2.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BS13
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

2	7347
1	642
-99	231
9	183

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	9
3rd row	1
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	7347	87.4%
1	642	7.6%
-99	231	2.7%
9	183	2.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	7347	87.4%
1	642	7.6%
99	231	2.7%
9	183	2.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

sm_presnt
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	7254
1	741
-99	408

Length

Max length	3
Median length	1
Mean length	1.097108176
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	-99
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	7254	86.3%
1	741	8.8%
-99	408	4.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	7254	86.3%
1	741	8.8%
99	408	4.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BE3_71
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

2	7401
9	725
-99	231
1	46

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	7401	88.1%
9	725	8.6%
-99	231	2.7%
1	46	0.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	7401	88.1%
9	725	8.6%
99	231	2.7%
1	46	0.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BE3_72
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.122575271

Minimum	-99
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	231
Negative (%)	2.7%
Memory size	65.8 KiB

Quantile statistics

Minimum	-99
5-th percentile	8
Q1	8
median	8
Q3	8
95-th percentile	9
Maximum	9
Range	108
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	17.51277885
Coefficient of variation (CV)	3.418745049
Kurtosis	31.37922217
Mean	5.122575271
Median Absolute Deviation (MAD)	0
Skewness	-5.774831956
Sum	43045
Variance	306.6974229
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
8	7401	88.1%
9	725	8.6%
-99	231	2.7%
7	13	0.2%
3	12	0.1%
1	9	0.1%
2	5	0.1%
5	3	< 0.1%
6	2	< 0.1%
4	2	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	231	2.7%
1	9	0.1%
2	5	0.1%
3	12	0.1%
4	2	< 0.1%
5	3	< 0.1%
6	2	< 0.1%
7	13	0.2%
8	7401	88.1%
9	725	8.6%

Value	Count	Frequency (%)
9	725	8.6%
8	7401	88.1%
7	13	0.2%
6	2	< 0.1%
5	3	< 0.1%
4	2	< 0.1%
3	12	0.1%
2	5	0.1%
1	9	0.1%
-99	231	2.7%

BE3_81
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

2	7206
9	725
1	241
-99	231

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	7206	85.8%
9	725	8.6%
1	241	2.9%
-99	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	7206	85.8%
9	725	8.6%
1	241	2.9%
99	231	2.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BE3_82
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.011900512

Minimum	-99
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	231
Negative (%)	2.7%
Memory size	65.8 KiB

Quantile statistics

Minimum	-99
5-th percentile	5
Q1	8
median	8
Q3	8
95-th percentile	9
Maximum	9
Range	108
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	17.51195331
Coefficient of variation (CV)	3.494074407
Kurtosis	31.23986883
Mean	5.011900512
Median Absolute Deviation (MAD)	0
Skewness	-5.756879107
Sum	42115
Variance	306.6685087
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
8	7206	85.8%
9	729	8.7%
-99	231	2.7%
3	63	0.7%
1	48	0.6%
2	47	0.6%
7	35	0.4%
4	27	0.3%
5	11	0.1%
6	6	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	231	2.7%
1	48	0.6%
2	47	0.6%
3	63	0.7%
4	27	0.3%
5	11	0.1%
6	6	0.1%
7	35	0.4%
8	7206	85.8%
9	729	8.7%

Value	Count	Frequency (%)
9	729	8.7%
8	7206	85.8%
7	35	0.4%
6	6	0.1%
5	11	0.1%
4	27	0.3%
3	63	0.7%
2	47	0.6%
1	48	0.6%
-99	231	2.7%

BE3_75
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

2	7303
9	731
-99	231
1	138

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	7303	86.9%
9	731	8.7%
-99	231	2.7%
1	138	1.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	7303	86.9%
9	731	8.7%
99	231	2.7%
1	138	1.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BE3_76
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.081994526

Minimum	-99
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	231
Negative (%)	2.7%
Memory size	65.8 KiB

Quantile statistics

Minimum	-99
5-th percentile	8
Q1	8
median	8
Q3	8
95-th percentile	9
Maximum	9
Range	108
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	17.5113066
Coefficient of variation (CV)	3.445754715
Kurtosis	31.33724393
Mean	5.081994526
Median Absolute Deviation (MAD)	0
Skewness	-5.769393083
Sum	42704
Variance	306.6458588
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
8	7303	86.9%
9	731	8.7%
-99	231	2.7%
5	27	0.3%
3	26	0.3%
7	23	0.3%
4	21	0.2%
2	21	0.2%
6	10	0.1%
1	10	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	231	2.7%
1	10	0.1%
2	21	0.2%
3	26	0.3%
4	21	0.2%
5	27	0.3%
6	10	0.1%
7	23	0.3%
8	7303	86.9%
9	731	8.7%

Value	Count	Frequency (%)
9	731	8.7%
8	7303	86.9%
7	23	0.3%
6	10	0.1%
5	27	0.3%
4	21	0.2%
3	26	0.3%
2	21	0.2%
1	10	0.1%
-99	231	2.7%

BE3_85
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

2	6468
1	974
9	730
-99	231

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	6468	77.0%
1	974	11.6%
9	730	8.7%
-99	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	6468	77.0%
1	974	11.6%
9	730	8.7%
99	231	2.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BE3_86
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.695703915

Minimum	-99
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	231
Negative (%)	2.7%
Memory size	65.8 KiB

Quantile statistics

Minimum	-99
5-th percentile	2
Q1	8
median	8
Q3	8
95-th percentile	9
Maximum	9
Range	108
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	17.49557333
Coefficient of variation (CV)	3.725868081
Kurtosis	30.95260861
Mean	4.695703915
Median Absolute Deviation (MAD)	0
Skewness	-5.71936162
Sum	39458
Variance	306.0950863
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
8	6468	77.0%
9	731	8.7%
-99	231	2.7%
3	203	2.4%
5	198	2.4%
7	168	2.0%
2	154	1.8%
4	112	1.3%
1	71	0.8%
6	67	0.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	231	2.7%
1	71	0.8%
2	154	1.8%
3	203	2.4%
4	112	1.3%
5	198	2.4%
6	67	0.8%
7	168	2.0%
8	6468	77.0%
9	731	8.7%

Value	Count	Frequency (%)
9	731	8.7%
8	6468	77.0%
7	168	2.0%
6	67	0.8%
5	198	2.4%
4	112	1.3%
3	203	2.4%
2	154	1.8%
1	71	0.8%
-99	231	2.7%

BE3_91
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

2	3766
1	3678
9	728
-99	231

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	1
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	3766	44.8%
1	3678	43.8%
9	728	8.7%
-99	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	3766	44.8%
1	3678	43.8%
9	728	8.7%
99	231	2.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BE8_1
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	25
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.80911579

Minimum	-99
Maximum	99
Zeros	1
Zeros (%)	< 0.1%
Negative	231
Negative (%)	2.7%
Memory size	65.8 KiB

Quantile statistics

Minimum	-99
5-th percentile	2
Q1	6
median	9
Q3	13
95-th percentile	99
Maximum	99
Range	198
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	35.76884618
Coefficient of variation (CV)	2.127943351
Kurtosis	3.497690684
Mean	16.80911579
Median Absolute Deviation (MAD)	4
Skewness	0.5591539348
Sum	141247
Variance	1279.410357
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
99	1045	12.4%
10	971	11.6%
8	769	9.2%
5	716	8.5%
6	666	7.9%
12	566	6.7%
7	520	6.2%
4	497	5.9%
9	430	5.1%
3	346	4.1%
Other values (15)	1877	22.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	231	2.7%
0	1	< 0.1%
1	50	0.6%
2	194	2.3%
3	346	4.1%
4	497	5.9%
5	716	8.5%
6	666	7.9%
7	520	6.2%
8	769	9.2%

Value	Count	Frequency (%)
99	1045	12.4%
22	1	< 0.1%
21	2	< 0.1%
20	11	0.1%
19	6	0.1%
18	53	0.6%
17	66	0.8%
16	107	1.3%
15	262	3.1%
14	288	3.4%

BE3_31
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.48684993

Minimum	-99
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	231
Negative (%)	2.7%
Memory size	65.8 KiB

Quantile statistics

Minimum	-99
5-th percentile	1
Q1	1
median	5
Q3	8
95-th percentile	99
Maximum	99
Range	198
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	33.08521112
Coefficient of variation (CV)	3.154923673
Kurtosis	5.059663718
Mean	10.48684993
Median Absolute Deviation (MAD)	3
Skewness	0.7729916481
Sum	88121
Variance	1094.631195
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
8	2191	26.1%
1	1953	23.2%
4	860	10.2%
99	780	9.3%
6	653	7.8%
3	585	7.0%
5	467	5.6%
2	388	4.6%
7	295	3.5%
-99	231	2.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	231	2.7%
1	1953	23.2%
2	388	4.6%
3	585	7.0%
4	860	10.2%
5	467	5.6%
6	653	7.8%
7	295	3.5%
8	2191	26.1%
99	780	9.3%

Value	Count	Frequency (%)
99	780	9.3%
8	2191	26.1%
7	295	3.5%
6	653	7.8%
5	467	5.6%
4	860	10.2%
3	585	7.0%
2	388	4.6%
1	1953	23.2%
-99	231	2.7%

BE3_32
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	13
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27.46697608

Minimum	-99
Maximum	99
Zeros	2858
Zeros (%)	34.0%
Negative	231
Negative (%)	2.7%
Memory size	65.8 KiB

Quantile statistics

Minimum	-99
5-th percentile	0
Q1	0
median	1
Q3	88
95-th percentile	99
Maximum	99
Range	198
Interquartile range (IQR)	88

Descriptive statistics

Standard deviation	47.24376457
Coefficient of variation (CV)	1.720020596
Kurtosis	-0.4030984517
Mean	27.46697608
Median Absolute Deviation (MAD)	1
Skewness	0.168350014
Sum	230805
Variance	2231.97329
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
0	2858	34.0%
88	1953	23.2%
1	1721	20.5%
99	785	9.3%
2	577	6.9%
-99	231	2.7%
3	163	1.9%
9	44	0.5%
4	38	0.5%
5	21	0.2%
Other values (3)	12	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	231	2.7%
0	2858	34.0%
1	1721	20.5%
2	577	6.9%
3	163	1.9%
4	38	0.5%
5	21	0.2%
6	8	0.1%
7	2	< 0.1%
8	2	< 0.1%

Value	Count	Frequency (%)
99	785	9.3%
88	1953	23.2%
9	44	0.5%
8	2	< 0.1%
7	2	< 0.1%
6	8	0.1%
5	21	0.2%
4	38	0.5%
3	163	1.9%
2	577	6.9%

BE5_1
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-0.382720457

Minimum	-99
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	231
Negative (%)	2.7%
Memory size	65.8 KiB

Quantile statistics

Minimum	-99
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	9
Maximum	9
Range	108
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	16.78084217
Coefficient of variation (CV)	-43.84621168
Kurtosis	29.82674396
Mean	-0.382720457
Median Absolute Deviation (MAD)	0
Skewness	-5.55928324
Sum	-3216
Variance	281.596664
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
1	6030	71.8%
6	762	9.1%
9	750	8.9%
4	247	2.9%
-99	231	2.7%
3	175	2.1%
5	124	1.5%
2	84	1.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	231	2.7%
1	6030	71.8%
2	84	1.0%
3	175	2.1%
4	247	2.9%
5	124	1.5%
6	762	9.1%
9	750	8.9%

Value	Count	Frequency (%)
9	750	8.9%
6	762	9.1%
5	124	1.5%
4	247	2.9%
3	175	2.1%
2	84	1.0%
1	6030	71.8%
-99	231	2.7%

pa_aerobic
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	5072
1	2319
-99	1012

Length

Max length	3
Median length	1
Mean length	1.240866357
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5072	60.4%
1	2319	27.6%
-99	1012	12.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	5072	60.4%
1	2319	27.6%
99	1012	12.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DI1_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

1	4401
8	3601
-99	231
0	166
9	4

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	8
4th row	8
5th row	1

Common Values

Value	Count	Frequency (%)
1	4401	52.4%
8	3601	42.9%
-99	231	2.7%
0	166	2.0%
9	4	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	4401	52.4%
8	3601	42.9%
99	231	2.7%
0	166	2.0%
9	4	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DI2_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	5328
1	2446
0	392
-99	231
9	6

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	8
4th row	1
5th row	8

Common Values

Value	Count	Frequency (%)
8	5328	63.4%
1	2446	29.1%
0	392	4.7%
-99	231	2.7%
9	6	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	5328	63.4%
1	2446	29.1%
0	392	4.7%
99	231	2.7%
9	6	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DI3_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	7034
9	666
1	380
-99	231
0	92

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8
2nd row	8
3rd row	8
4th row	8
5th row	8

Common Values

Value	Count	Frequency (%)
8	7034	83.7%
9	666	7.9%
1	380	4.5%
-99	231	2.7%
0	92	1.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	7034	83.7%
9	666	7.9%
1	380	4.5%
99	231	2.7%
0	92	1.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DI4_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	6848
-99	906
1	579
0	70

Length

Max length	3
Median length	1
Mean length	1.215637272
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8
2nd row	8
3rd row	8
4th row	8
5th row	8

Common Values

Value	Count	Frequency (%)
8	6848	81.5%
-99	906	10.8%
1	579	6.9%
0	70	0.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	6848	81.5%
99	906	10.8%
1	579	6.9%
0	70	0.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DI5_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	7249
9	673
1	231
-99	231
0	19

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8
2nd row	8
3rd row	8
4th row	8
5th row	8

Common Values

Value	Count	Frequency (%)
8	7249	86.3%
9	673	8.0%
1	231	2.7%
-99	231	2.7%
0	19	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	7249	86.3%
9	673	8.0%
99	231	2.7%
1	231	2.7%
0	19	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DM2_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	5215
1	2069
9	677
-99	231
0	211

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	8
3rd row	8
4th row	8
5th row	8

Common Values

Value	Count	Frequency (%)
8	5215	62.1%
1	2069	24.6%
9	677	8.1%
-99	231	2.7%
0	211	2.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	5215	62.1%
1	2069	24.6%
9	677	8.1%
99	231	2.7%
0	211	2.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DM3_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	7186
9	677
1	250
-99	231
0	59

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8
2nd row	8
3rd row	8
4th row	8
5th row	8

Common Values

Value	Count	Frequency (%)
8	7186	85.5%
9	677	8.1%
1	250	3.0%
-99	231	2.7%
0	59	0.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	7186	85.5%
9	677	8.1%
1	250	3.0%
99	231	2.7%
0	59	0.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DM4_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	5701
1	1489
9	680
0	302
-99	231

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8
2nd row	8
3rd row	8
4th row	1
5th row	8

Common Values

Value	Count	Frequency (%)
8	5701	67.8%
1	1489	17.7%
9	680	8.1%
0	302	3.6%
-99	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	5701	67.8%
1	1489	17.7%
9	680	8.1%
0	302	3.6%
99	231	2.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DJ2_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	7004
9	680
0	473
-99	231
1	15

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8
2nd row	8
3rd row	8
4th row	8
5th row	8

Common Values

Value	Count	Frequency (%)
8	7004	83.4%
9	680	8.1%
0	473	5.6%
-99	231	2.7%
1	15	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	7004	83.4%
9	680	8.1%
0	473	5.6%
99	231	2.7%
1	15	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DJ4_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	7134
9	680
1	277
-99	231
0	81

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8
2nd row	1
3rd row	8
4th row	8
5th row	8

Common Values

Value	Count	Frequency (%)
8	7134	84.9%
9	680	8.1%
1	277	3.3%
-99	231	2.7%
0	81	1.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	7134	84.9%
9	680	8.1%
1	277	3.3%
99	231	2.7%
0	81	1.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DJ6_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	7118
9	684
-99	231
0	223
1	147

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	8
3rd row	8
4th row	8
5th row	8

Common Values

Value	Count	Frequency (%)
8	7118	84.7%
9	684	8.1%
-99	231	2.7%
0	223	2.7%
1	147	1.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	7118	84.7%
9	684	8.1%
99	231	2.7%
0	223	2.7%
1	147	1.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DJ8_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	7001
9	684
1	402
-99	231
0	85

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8
2nd row	1
3rd row	8
4th row	8
5th row	8

Common Values

Value	Count	Frequency (%)
8	7001	83.3%
9	684	8.1%
1	402	4.8%
-99	231	2.7%
0	85	1.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	7001	83.3%
9	684	8.1%
1	402	4.8%
99	231	2.7%
0	85	1.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DI6_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	7044
9	675
1	394
-99	231
0	59

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8
2nd row	8
3rd row	8
4th row	8
5th row	8

Common Values

Value	Count	Frequency (%)
8	7044	83.8%
9	675	8.0%
1	394	4.7%
-99	231	2.7%
0	59	0.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	7044	83.8%
9	675	8.0%
1	394	4.7%
99	231	2.7%
0	59	0.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DF2_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	6983
9	684
1	330
-99	231
0	175

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8
2nd row	8
3rd row	8
4th row	1
5th row	8

Common Values

Value	Count	Frequency (%)
8	6983	83.1%
9	684	8.1%
1	330	3.9%
-99	231	2.7%
0	175	2.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	6983	83.1%
9	684	8.1%
1	330	3.9%
99	231	2.7%
0	175	2.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DL1_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	7393
9	684
-99	231
1	75
0	20

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8
2nd row	8
3rd row	8
4th row	8
5th row	8

Common Values

Value	Count	Frequency (%)
8	7393	88.0%
9	684	8.1%
-99	231	2.7%
1	75	0.9%
0	20	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	7393	88.0%
9	684	8.1%
99	231	2.7%
1	75	0.9%
0	20	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DE1_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	6333
1	1781
-99	231
0	50
9	8

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8
2nd row	8
3rd row	8
4th row	8
5th row	1

Common Values

Value	Count	Frequency (%)
8	6333	75.4%
1	1781	21.2%
-99	231	2.7%
0	50	0.6%
9	8	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	6333	75.4%
1	1781	21.2%
99	231	2.7%
0	50	0.6%
9	8	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DE2_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	7170
9	683
-99	231
1	202
0	117

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8
2nd row	8
3rd row	8
4th row	8
5th row	8

Common Values

Value	Count	Frequency (%)
8	7170	85.3%
9	683	8.1%
-99	231	2.7%
1	202	2.4%
0	117	1.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	7170	85.3%
9	683	8.1%
99	231	2.7%
1	202	2.4%
0	117	1.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DH4_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	7174
9	685
-99	231
0	223
1	90

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8
2nd row	8
3rd row	8
4th row	8
5th row	8

Common Values

Value	Count	Frequency (%)
8	7174	85.4%
9	685	8.2%
-99	231	2.7%
0	223	2.7%
1	90	1.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	7174	85.4%
9	685	8.2%
99	231	2.7%
0	223	2.7%
1	90	1.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DC1_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	7341
9	683
-99	231
0	109
1	39

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8
2nd row	8
3rd row	8
4th row	8
5th row	8

Common Values

Value	Count	Frequency (%)
8	7341	87.4%
9	683	8.1%
-99	231	2.7%
0	109	1.3%
1	39	0.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	7341	87.4%
9	683	8.1%
99	231	2.7%
0	109	1.3%
1	39	0.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DC2_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	7470
9	683
-99	231
1	13
0	6

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8
2nd row	8
3rd row	8
4th row	8
5th row	8

Common Values

Value	Count	Frequency (%)
8	7470	88.9%
9	683	8.1%
-99	231	2.7%
1	13	0.2%
0	6	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	7470	88.9%
9	683	8.1%
99	231	2.7%
1	13	0.2%
0	6	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DC3_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	7367
9	683
-99	231
0	90
1	32

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8
2nd row	8
3rd row	8
4th row	8
5th row	8

Common Values

Value	Count	Frequency (%)
8	7367	87.7%
9	683	8.1%
-99	231	2.7%
0	90	1.1%
1	32	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	7367	87.7%
9	683	8.1%
99	231	2.7%
0	90	1.1%
1	32	0.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DC4_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	7406
9	683
-99	231
0	49
1	34

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8
2nd row	8
3rd row	8
4th row	8
5th row	8

Common Values

Value	Count	Frequency (%)
8	7406	88.1%
9	683	8.1%
-99	231	2.7%
0	49	0.6%
1	34	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	7406	88.1%
9	683	8.1%
99	231	2.7%
0	49	0.6%
1	34	0.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DC5_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	7425
9	683
-99	231
0	61
1	3

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8
2nd row	8
3rd row	8
4th row	8
5th row	8

Common Values

Value	Count	Frequency (%)
8	7425	88.4%
9	683	8.1%
-99	231	2.7%
0	61	0.7%
1	3	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	7425	88.4%
9	683	8.1%
99	231	2.7%
0	61	0.7%
1	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DC6_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	7439
9	683
-99	231
1	30
0	20

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8
2nd row	8
3rd row	8
4th row	8
5th row	8

Common Values

Value	Count	Frequency (%)
8	7439	88.5%
9	683	8.1%
-99	231	2.7%
1	30	0.4%
0	20	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	7439	88.5%
9	683	8.1%
99	231	2.7%
1	30	0.4%
0	20	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DC7_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	7396
9	683
-99	231
0	50
1	43

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8
2nd row	8
3rd row	8
4th row	8
5th row	8

Common Values

Value	Count	Frequency (%)
8	7396	88.0%
9	683	8.1%
-99	231	2.7%
0	50	0.6%
1	43	0.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	7396	88.0%
9	683	8.1%
99	231	2.7%
0	50	0.6%
1	43	0.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DK8_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	7373
9	688
-99	231
0	59
1	52

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	8
3rd row	8
4th row	8
5th row	8

Common Values

Value	Count	Frequency (%)
8	7373	87.7%
9	688	8.2%
-99	231	2.7%
0	59	0.7%
1	52	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	7373	87.7%
9	688	8.2%
99	231	2.7%
0	59	0.7%
1	52	0.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DK9_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	7456
9	688
-99	231
0	18
1	10

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8
2nd row	8
3rd row	8
4th row	8
5th row	8

Common Values

Value	Count	Frequency (%)
8	7456	88.7%
9	688	8.2%
-99	231	2.7%
0	18	0.2%
1	10	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	7456	88.7%
9	688	8.2%
99	231	2.7%
0	18	0.2%
1	10	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DK4_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

8	7437
9	688
-99	231
1	36
0	11

Length

Max length	3
Median length	1
Mean length	1.054980364
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8
2nd row	8
3rd row	8
4th row	8
5th row	8

Common Values

Value	Count	Frequency (%)
8	7437	88.5%
9	688	8.2%
-99	231	2.7%
1	36	0.4%
0	11	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8	7437	88.5%
9	688	8.2%
99	231	2.7%
1	36	0.4%
0	11	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_Upro
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-7.001190051

Minimum	-99
Maximum	5
Zeros	6561
Zeros (%)	78.1%
Negative	612
Negative (%)	7.3%
Memory size	65.8 KiB

Quantile statistics

Minimum	-99
5-th percentile	-99
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	5
Range	104
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	25.79254109
Coefficient of variation (CV)	-3.684022417
Kurtosis	8.803543237
Mean	-7.001190051
Median Absolute Deviation (MAD)	0
Skewness	-3.285403897
Sum	-58831
Variance	665.2551759
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	6561	78.1%
1	842	10.0%
-99	612	7.3%
2	275	3.3%
3	91	1.1%
4	18	0.2%
5	4	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	612	7.3%
0	6561	78.1%
1	842	10.0%
2	275	3.3%
3	91	1.1%
4	18	0.2%
5	4	< 0.1%

Value	Count	Frequency (%)
5	4	< 0.1%
4	18	0.2%
3	91	1.1%
2	275	3.3%
1	842	10.0%
0	6561	78.1%
-99	612	7.3%

HE_THfh1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	6490
9	1650
-99	261
1	2

Length

Max length	3
Median length	1
Mean length	1.062120671
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	6490	77.2%
9	1650	19.6%
-99	261	3.1%
1	2	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	6490	77.2%
9	1650	19.6%
99	261	3.1%
1	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_THfh2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	6719
9	1387
-99	261
1	36

Length

Max length	3
Median length	1
Mean length	1.062120671
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	6719	80.0%
9	1387	16.5%
-99	261	3.1%
1	36	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	6719	80.0%
9	1387	16.5%
99	261	3.1%
1	36	0.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_THfh3
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	6848
9	1031
-99	261
8	162
1	101

Length

Max length	3
Median length	1
Mean length	1.062120671
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	6848	81.5%
9	1031	12.3%
-99	261	3.1%
8	162	1.9%
1	101	1.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	6848	81.5%
9	1031	12.3%
99	261	3.1%
8	162	1.9%
1	101	1.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_HBfh1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	6485
9	1651
-99	261
1	6

Length

Max length	3
Median length	1
Mean length	1.062120671
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	6485	77.2%
9	1651	19.6%
-99	261	3.1%
1	6	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	6485	77.2%
9	1651	19.6%
99	261	3.1%
1	6	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_HBfh2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	6742
9	1389
-99	261
1	11

Length

Max length	3
Median length	1
Mean length	1.062120671
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	6742	80.2%
9	1389	16.5%
-99	261	3.1%
1	11	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	6742	80.2%
9	1389	16.5%
99	261	3.1%
1	11	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_HBfh3
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	6916
9	1034
-99	261
8	162
1	30

Length

Max length	3
Median length	1
Mean length	1.062120671
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	6916	82.3%
9	1034	12.3%
-99	261	3.1%
8	162	1.9%
1	30	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	6916	82.3%
9	1034	12.3%
99	261	3.1%
8	162	1.9%
1	30	0.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_fh
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	3752
1	3718
9	672
-99	261

Length

Max length	3
Median length	1
Mean length	1.062120671
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	3752	44.7%
1	3718	44.2%
9	672	8.0%
-99	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	3752	44.7%
1	3718	44.2%
9	672	8.0%
99	261	3.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_HPfh1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	5885
9	1631
1	626
-99	261

Length

Max length	3
Median length	1
Mean length	1.062120671
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5885	70.0%
9	1631	19.4%
1	626	7.4%
-99	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	5885	70.0%
9	1631	19.4%
1	626	7.4%
99	261	3.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_HPfh2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	5772
9	1358
1	1012
-99	261

Length

Max length	3
Median length	1
Mean length	1.062120671
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5772	68.7%
9	1358	16.2%
1	1012	12.0%
-99	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	5772	68.7%
9	1358	16.2%
1	1012	12.0%
99	261	3.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_HPfh3
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	5523
1	1480
9	976
-99	261
8	163

Length

Max length	3
Median length	1
Mean length	1.062120671
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	5523	65.7%
1	1480	17.6%
9	976	11.6%
-99	261	3.1%
8	163	1.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	5523	65.7%
1	1480	17.6%
9	976	11.6%
99	261	3.1%
8	163	1.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_HLfh1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	6455
9	1666
-99	261
1	21

Length

Max length	3
Median length	1
Mean length	1.062120671
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	6455	76.8%
9	1666	19.8%
-99	261	3.1%
1	21	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	6455	76.8%
9	1666	19.8%
99	261	3.1%
1	21	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_HLfh2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	6700
9	1401
-99	261
1	41

Length

Max length	3
Median length	1
Mean length	1.062120671
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	6700	79.7%
9	1401	16.7%
-99	261	3.1%
1	41	0.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	6700	79.7%
9	1401	16.7%
99	261	3.1%
1	41	0.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_HLfh3
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	6811
9	1043
-99	261
8	163
1	125

Length

Max length	3
Median length	1
Mean length	1.062120671
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	6811	81.1%
9	1043	12.4%
-99	261	3.1%
8	163	1.9%
1	125	1.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	6811	81.1%
9	1043	12.4%
99	261	3.1%
8	163	1.9%
1	125	1.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_IHDfh1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	6416
9	1654
-99	261
1	72

Length

Max length	3
Median length	1
Mean length	1.062120671
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	6416	76.4%
9	1654	19.7%
-99	261	3.1%
1	72	0.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	6416	76.4%
9	1654	19.7%
99	261	3.1%
1	72	0.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_IHDfh2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	6638
9	1394
-99	261
1	110

Length

Max length	3
Median length	1
Mean length	1.062120671
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	6638	79.0%
9	1394	16.6%
-99	261	3.1%
1	110	1.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	6638	79.0%
9	1394	16.6%
99	261	3.1%
1	110	1.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_IHDfh3
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	6798
9	1031
-99	261
8	163
1	150

Length

Max length	3
Median length	1
Mean length	1.062120671
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	6798	80.9%
9	1031	12.3%
-99	261	3.1%
8	163	1.9%
1	150	1.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	6798	80.9%
9	1031	12.3%
99	261	3.1%
8	163	1.9%
1	150	1.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_STRfh1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	6015
9	1592
1	535
-99	261

Length

Max length	3
Median length	1
Mean length	1.062120671
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	6015	71.6%
9	1592	18.9%
1	535	6.4%
-99	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	6015	71.6%
9	1592	18.9%
1	535	6.4%
99	261	3.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_STRfh2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	6265
9	1345
1	532
-99	261

Length

Max length	3
Median length	1
Mean length	1.062120671
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	6265	74.6%
9	1345	16.0%
1	532	6.3%
-99	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	6265	74.6%
9	1345	16.0%
1	532	6.3%
99	261	3.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_STRfh3
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	6664
9	1012
1	303
-99	261
8	163

Length

Max length	3
Median length	1
Mean length	1.062120671
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	6664	79.3%
9	1012	12.0%
1	303	3.6%
-99	261	3.1%
8	163	1.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	6664	79.3%
9	1012	12.0%
1	303	3.6%
99	261	3.1%
8	163	1.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_DMfh1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	6330
9	1646
-99	261
1	166

Length

Max length	3
Median length	1
Mean length	1.062120671
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	6330	75.3%
9	1646	19.6%
-99	261	3.1%
1	166	2.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	6330	75.3%
9	1646	19.6%
99	261	3.1%
1	166	2.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_DMfh2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	6382
9	1370
1	390
-99	261

Length

Max length	3
Median length	1
Mean length	1.062120671
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	6382	75.9%
9	1370	16.3%
1	390	4.6%
-99	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	6382	75.9%
9	1370	16.3%
1	390	4.6%
99	261	3.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_DMfh3
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	6044
9	990
1	945
-99	261
8	163

Length

Max length	3
Median length	1
Mean length	1.062120671
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	6044	71.9%
9	990	11.8%
1	945	11.2%
-99	261	3.1%
8	163	1.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	6044	71.9%
9	990	11.8%
1	945	11.2%
99	261	3.1%
8	163	1.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_HP
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

3	5136
2	1679
1	1308
-99	280

Length

Max length	3
Median length	1
Mean length	1.066642866
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	2
4th row	2
5th row	3

Common Values

Value	Count	Frequency (%)
3	5136	61.1%
2	1679	20.0%
1	1308	15.6%
-99	280	3.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3	5136	61.1%
2	1679	20.0%
1	1308	15.6%
99	280	3.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_obe
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-1.425800309

Minimum	-99
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	355
Negative (%)	4.2%
Memory size	65.8 KiB

Quantile statistics

Minimum	-99
5-th percentile	1
Q1	2
median	3
Q3	4
95-th percentile	4
Maximum	6
Range	105
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	20.51522297
Coefficient of variation (CV)	-14.38856678
Kurtosis	18.63805264
Mean	-1.425800309
Median Absolute Deviation (MAD)	1
Skewness	-4.53683748
Sum	-11981
Variance	420.8743735
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
2	3156	37.6%
3	2276	27.1%
4	2121	25.2%
-99	355	4.2%
1	239	2.8%
5	235	2.8%
6	21	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	355	4.2%
1	239	2.8%
2	3156	37.6%
3	2276	27.1%
4	2121	25.2%
5	235	2.8%
6	21	0.2%

Value	Count	Frequency (%)
6	21	0.2%
5	235	2.8%
4	2121	25.2%
3	2276	27.1%
2	3156	37.6%
1	239	2.8%
-99	355	4.2%

HE_DM_HbA1c
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

2	2818
1	2504
3	2047
-99	1034

Length

Max length	3
Median length	1
Mean length	1.246102582
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	3
4th row	2
5th row	3

Common Values

Value	Count	Frequency (%)
2	2818	33.5%
1	2504	29.8%
3	2047	24.4%
-99	1034	12.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	2818	33.5%
1	2504	29.8%
3	2047	24.4%
99	1034	12.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_HCHOL
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	4726
1	2645
-99	1032

Length

Max length	3
Median length	1
Mean length	1.245626562
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	4726	56.2%
1	2645	31.5%
-99	1032	12.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	4726	56.2%
1	2645	31.5%
99	1032	12.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_HTG
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	5822
-99	1765
1	816

Length

Max length	3
Median length	1
Mean length	1.420088064
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	-99
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	5822	69.3%
-99	1765	21.0%
1	816	9.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	5822	69.3%
99	1765	21.0%
1	816	9.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_hepaB
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	7511
-99	698
1	194

Length

Max length	3
Median length	1
Mean length	1.166131144
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	7511	89.4%
-99	698	8.3%
1	194	2.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	7511	89.4%
99	698	8.3%
1	194	2.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_hepaC
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	7585
-99	698
1	120

Length

Max length	3
Median length	1
Mean length	1.166131144
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	7585	90.3%
-99	698	8.3%
1	120	1.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	7585	90.3%
99	698	8.3%
1	120	1.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_anem
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	6434
1	1250
-99	719

Length

Max length	3
Median length	1
Mean length	1.171129359
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	6434	76.6%
1	1250	14.9%
-99	719	8.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	6434	76.6%
1	1250	14.9%
99	719	8.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

T_NQ_OCP
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

2	6079
-99	1125
1	1082
9	117

Length

Max length	3
Median length	1
Mean length	1.267761514
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
2	6079	72.3%
-99	1125	13.4%
1	1082	12.9%
9	117	1.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	6079	72.3%
99	1125	13.4%
1	1082	12.9%
9	117	1.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

T_Q_VN
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

2	5290
1	1843
-99	1125
9	117
3	28

Length

Max length	3
Median length	1
Mean length	1.267761514
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	5290	63.0%
1	1843	21.9%
-99	1125	13.4%
9	117	1.4%
3	28	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	5290	63.0%
1	1843	21.9%
99	1125	13.4%
9	117	1.4%
3	28	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

L_BR
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	7032
-99	965
1	406

Length

Max length	3
Median length	1
Mean length	1.229679876
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-99
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	7032	83.7%
-99	965	11.5%
1	406	4.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	7032	83.7%
99	965	11.5%
1	406	4.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

L_LN
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	6880
-99	965
1	558

Length

Max length	3
Median length	1
Mean length	1.229679876
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-99
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	6880	81.9%
-99	965	11.5%
1	558	6.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	6880	81.9%
99	965	11.5%
1	558	6.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

L_DN
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

0	7069
-99	965
1	369

Length

Max length	3
Median length	1
Mean length	1.229679876
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-99
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	7069	84.1%
-99	965	11.5%
1	369	4.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	7069	84.1%
99	965	11.5%
1	369	4.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

L_BR_FQ
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

1	6899
-99	959
4	226
2	211
3	108

Length

Max length	3
Median length	1
Mean length	1.228251815
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-99
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	6899	82.1%
-99	959	11.4%
4	226	2.7%
2	211	2.5%
3	108	1.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	6899	82.1%
99	959	11.4%
4	226	2.7%
2	211	2.5%
3	108	1.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

L_LN_FQ
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

1	6782
-99	959
2	316
4	213
3	133

Length

Max length	3
Median length	1
Mean length	1.228251815
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-99
2nd row	1
3rd row	1
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
1	6782	80.7%
-99	959	11.4%
2	316	3.8%
4	213	2.5%
3	133	1.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	6782	80.7%
99	959	11.4%
2	316	3.8%
4	213	2.5%
3	133	1.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

L_DN_FQ
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

1	7130
-99	959
2	211
3	61
4	42

Length

Max length	3
Median length	1
Mean length	1.228251815
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-99
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	7130	84.9%
-99	959	11.4%
2	211	2.5%
3	61	0.7%
4	42	0.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	7130	84.9%
99	959	11.4%
2	211	2.5%
3	61	0.7%
4	42	0.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

L_OUT_FQ
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-6.461501845

Minimum	-99
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	959
Negative (%)	11.4%
Memory size	65.8 KiB

Quantile statistics

Minimum	-99
5-th percentile	-99
Q1	4
median	6
Q3	6
95-th percentile	7
Maximum	7
Range	106
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	33.24211009
Coefficient of variation (CV)	-5.14464143
Kurtosis	3.874023707
Mean	-6.461501845
Median Absolute Deviation (MAD)	1
Skewness	-2.420402857
Sum	-54296
Variance	1105.037883
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
6	2428	28.9%
5	1849	22.0%
7	1808	21.5%
-99	959	11.4%
4	534	6.4%
3	482	5.7%
2	251	3.0%
1	92	1.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	959	11.4%
1	92	1.1%
2	251	3.0%
3	482	5.7%
4	534	6.4%
5	1849	22.0%
6	2428	28.9%
7	1808	21.5%

Value	Count	Frequency (%)
7	1808	21.5%
6	2428	28.9%
5	1849	22.0%
4	534	6.4%
3	482	5.7%
2	251	3.0%
1	92	1.1%
-99	959	11.4%

LS_1YR
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

1	3963
2	3481
-99	959

Length

Max length	3
Median length	1
Mean length	1.228251815
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-99
2nd row	1
3rd row	1
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
1	3963	47.2%
2	3481	41.4%
-99	959	11.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	3963	47.2%
2	3481	41.4%
99	959	11.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Matrix

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	ID	year	sex	age	HE_ht	HE_wt	HE_BMI	M_2_yr	M_2_rs	LQ_1EQL	LQ_2EQL	LQ_3EQL	LQ_4EQL	LQ_5EQL	BO1_1	BO2_1	BD1_11	BD2_1	BD2_31	dr_month	BP16_1	BP16_2	BP1	mh_stress	BS1_1	BS3_1	BS3_2	BS3_3	BS12_47	BS8_2	BS9_2	BS13	sm_presnt	BE3_71	BE3_72	BE3_81	BE3_82	BE3_75	BE3_76	BE3_85	BE3_86	BE3_91	BE8_1	BE3_31	BE3_32	BE5_1	pa_aerobic	DI1_pr	DI2_pr	DI3_pr	DI4_pr	DI5_pr	DM2_pr	DM3_pr	DM4_pr	DJ2_pr	DJ4_pr	DJ6_pr	DJ8_pr	DI6_pr	DF2_pr	DL1_pr	DE1_pr	DE2_pr	DH4_pr	DC1_pr	DC2_pr	DC3_pr	DC4_pr	DC5_pr	DC6_pr	DC7_pr	DK8_pr	DK9_pr	DK4_pr	HE_Upro	HE_THfh1	HE_THfh2	HE_THfh3	HE_HBfh1	HE_HBfh2	HE_HBfh3	HE_fh	HE_HPfh1	HE_HPfh2	HE_HPfh3	HE_HLfh1	HE_HLfh2	HE_HLfh3	HE_IHDfh1	HE_IHDfh2	HE_IHDfh3	HE_STRfh1	HE_STRfh2	HE_STRfh3	HE_DMfh1	HE_DMfh2	HE_DMfh3	HE_HP	HE_obe	HE_DM_HbA1c	HE_HCHOL	HE_HTG	HE_hepaB	HE_hepaC	HE_anem	T_NQ_OCP	T_Q_VN	L_BR	L_LN	L_DN	L_BR_FQ	L_LN_FQ	L_DN_FQ	L_OUT_FQ	LS_1YR
0	b'A651228902'	2016	2	78	150	52	23	2	88	2	1	1	2	1	3	1	8	8	8	0	480	480	3	0	3	8	888	88	8	8	3	2	0	2	8	2	8	2	8	2	8	1	12	5	2	1	1	1	1	8	8	8	1	8	8	8	8	0	8	8	8	8	8	8	8	8	8	8	8	8	8	8	0	8	8	0	0	0	0	0	0	0	1	0	1	0	0	1	0	0	1	0	0	0	0	0	0	0	3	2	2	1	0	1	0	0	2	2	-99	-99	-99	-99	-99	-99	-99	-99
1	b'A651417601'	2016	1	80	155	61	25	2	88	1	1	1	1	2	9	9	9	9	9	-99	390	420	9	-99	9	9	999	99	9	9	9	9	-99	2	8	2	8	2	8	2	8	2	10	6	1	1	0	1	1	8	8	8	8	8	8	8	1	8	1	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	3	3	2	1	0	0	0	0	2	1	0	0	0	1	1	1	5	1
2	b'A652228901'	2016	1	66	170	66	22	2	88	1	1	1	1	1	1	4	5	4	4	1	390	390	3	0	2	3	888	88	8	2	3	1	0	2	8	2	8	2	8	2	8	1	10	4	0	1	1	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	2	3	0	-99	0	0	0	2	2	0	0	0	1	1	1	2	1
3	b'A653184701'	2016	2	75	144	49	23	1	3	2	1	2	3	3	3	4	8	8	8	0	360	360	1	1	3	8	888	88	8	8	3	2	0	2	8	2	8	2	8	2	8	2	99	1	88	1	0	8	1	8	8	8	8	8	1	8	8	8	8	8	1	8	8	8	8	8	8	8	8	8	8	8	8	8	8	1	0	0	0	0	0	0	1	0	0	1	0	0	1	0	0	0	0	0	1	0	0	1	2	2	2	1	0	0	0	1	1	2	0	0	0	1	2	1	7	2
4	b'A653235705'	2016	2	79	147	77	35	1	2	2	1	1	2	1	1	1	5	1	1	1	240	240	3	0	3	8	888	88	8	8	3	2	0	2	8	2	8	2	8	2	8	2	99	1	88	1	0	1	8	8	8	8	8	8	8	8	8	8	8	8	8	8	1	8	8	8	8	8	8	8	8	8	8	8	8	-99	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	3	3	3	0	0	0	0	1	2	2	0	1	0	1	2	1	7	2
5	b'A653252701'	2016	2	78	145	52	24	2	88	2	1	1	2	1	1	4	2	1	1	0	420	420	4	0	3	8	888	88	8	2	2	2	0	2	8	2	8	2	8	2	8	1	8	6	0	1	1	1	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	3	2	1	0	0	0	0	1	2	2	-99	-99	-99	-99	-99	-99	-99	-99
6	b'A653302001'	2016	1	66	168	81	28	2	88	1	1	1	1	1	1	4	5	4	5	1	420	420	3	0	2	3	888	88	8	8	3	2	0	2	8	2	8	2	8	2	8	1	10	3	0	1	0	1	1	8	8	8	8	8	8	8	8	8	8	8	8	8	1	8	8	8	8	8	8	8	8	8	8	8	8	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	3	3	3	1	1	0	0	0	2	2	0	0	0	1	1	1	4	2
7	b'A653370001'	2016	1	75	177	63	20	9	99	9	9	9	9	9	1	4	1	8	8	0	9999	9999	2	1	2	1	3	88	8	8	2	2	1	9	9	9	9	9	9	9	9	9	99	99	99	9	-99	8	8	9	-99	9	9	9	9	9	9	9	9	9	9	9	8	9	9	9	9	9	9	9	9	9	9	9	9	-99	9	9	9	9	9	9	9	9	9	9	9	9	9	9	9	9	9	9	9	9	9	9	1	2	-99	-99	-99	-99	-99	-99	2	2	0	0	0	1	1	1	7	1
8	b'A653370002'	2016	2	71	153	51	22	9	99	9	9	9	9	9	1	2	1	8	8	0	9999	9999	2	1	3	8	888	88	8	8	2	2	0	9	9	9	9	9	9	9	9	9	99	99	99	9	-99	1	8	9	-99	9	9	9	9	9	9	9	9	9	9	9	8	9	9	9	9	9	9	9	9	9	9	9	9	0	0	0	0	0	0	0	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	3	2	1	0	0	0	0	1	2	2	0	0	0	1	1	1	5	1
9	b'A653383601'	2016	2	68	152	70	30	2	88	1	1	1	1	1	3	1	8	8	8	0	300	240	4	0	1	3	888	88	8	2	3	2	0	2	8	2	8	2	8	2	8	1	12	8	1	1	1	1	8	8	8	8	1	8	1	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	0	0	0	0	0	0	0	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	3	3	2	0	0	0	0	0	2	2	0	0	0	1	1	1	5	1

Last rows

	ID	year	sex	age	HE_ht	HE_wt	HE_BMI	M_2_yr	M_2_rs	LQ_1EQL	LQ_2EQL	LQ_3EQL	LQ_4EQL	LQ_5EQL	BO1_1	BO2_1	BD1_11	BD2_1	BD2_31	dr_month	BP16_1	BP16_2	BP1	mh_stress	BS1_1	BS3_1	BS3_2	BS3_3	BS12_47	BS8_2	BS9_2	BS13	BE3_71	BE3_72	BE3_81	BE3_82	BE3_75	BE3_76	BE3_85	BE3_86	BE3_91	BE8_1	BE3_31	BE3_32	BE5_1	pa_aerobic	DI1_pr	DI2_pr	DI3_pr	DI4_pr	DI5_pr	DM2_pr	DM3_pr	DM4_pr	DJ2_pr	DJ4_pr	DJ6_pr	DJ8_pr	DI6_pr	DF2_pr	DL1_pr	DE1_pr	DE2_pr	DH4_pr	DC1_pr	DC2_pr	DC3_pr	DC4_pr	DC5_pr	DC6_pr	DC7_pr	DK8_pr	DK9_pr	DK4_pr	HE_THfh1	HE_THfh2	HE_HBfh1	HE_fh	HE_HPfh1	HE_HPfh2	HE_HPfh3	HE_HLfh1	HE_IHDfh1	HE_STRfh1	HE_STRfh2	HE_DMfh1	HE_DMfh2	HE_DMfh3	HE_HP	HE_obe	HE_DM_HbA1c	HE_HCHOL	HE_HTG	T_NQ_OCP	T_Q_VN	L_BR_FQ	L_LN_FQ	L_DN_FQ	L_OUT_FQ	LS_1YR
8393	b'R802410802'	2020	2	65	157	54	21	1	5	2	1	2	3	2	2	2	1	8	8	0	6	6	1	1	3	8	888	88	8	8	3	2	2	8	2	8	2	8	2	8	1	6	8	0	5	0	8	1	8	8	8	1	8	1	8	1	1	8	8	8	8	1	8	8	8	8	8	8	8	8	8	8	8	8	9	0	9	1	9	1	1	9	9	9	0	9	0	0	1	2	3	1	0	2	2	1	1	1	7	1
8394	b'R802412501'	2020	1	74	163	61	22	2	88	1	1	1	1	1	1	2	6	3	1	1	6	6	3	0	2	3	888	88	8	2	3	2	2	8	2	8	2	8	2	8	1	6	8	0	1	1	1	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	0	0	0	1	0	0	0	0	0	0	0	0	0	1	3	2	2	0	0	2	2	1	1	1	6	2
8395	b'R802412502'	2020	2	75	149	59	26	2	88	2	1	2	2	2	1	1	8	8	8	0	6	6	3	0	3	8	888	88	8	2	3	2	2	8	2	8	2	8	2	8	1	6	8	1	1	1	1	8	8	8	8	1	8	1	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	0	0	0	0	0	0	0	0	0	0	0	0	0	0	3	4	2	0	0	2	2	1	4	1	6	2
8396	b'R802415902'	2020	2	74	159	68	27	2	88	2	1	2	2	1	3	4	1	8	8	0	7	7	3	0	3	8	888	88	8	2	3	2	2	8	2	8	2	8	2	8	1	6	8	0	1	0	1	1	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	0	8	8	8	8	8	8	8	8	8	8	0	0	0	1	0	0	0	0	0	0	0	0	1	1	3	4	1	1	0	1	2	1	1	1	7	2
8397	b'R803409101'	2020	1	66	163	64	23	2	88	1	1	1	1	1	1	4	2	2	2	0	6	8	3	0	3	8	888	88	8	2	3	2	2	8	2	8	2	8	2	8	2	5	1	88	1	0	8	1	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	0	0	0	1	0	0	0	0	0	0	1	0	0	0	2	3	2	1	0	1	2	1	1	1	1	1
8398	b'R804176202'	2020	1	66	163	70	26	2	88	1	2	1	1	1	1	1	4	2	2	1	8	8	4	0	3	8	888	88	8	8	3	2	2	8	2	8	2	8	2	8	2	7	8	2	6	0	1	1	8	8	8	1	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	9	0	9	0	9	0	0	9	9	9	0	9	0	0	3	4	2	1	0	2	2	1	1	1	6	1
8399	b'R804205101'	2020	1	75	163	69	26	2	88	1	1	1	1	1	1	2	3	1	1	1	5	5	2	1	3	8	888	88	8	2	3	2	2	8	2	8	2	8	2	8	1	10	4	0	1	1	0	8	8	8	8	8	8	8	8	8	8	8	8	8	8	1	8	0	8	8	8	8	8	8	8	8	8	8	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	4	3	0	1	2	1	1	1	1	6	1
8400	b'R804205102'	2020	2	65	163	61	23	2	88	1	1	1	3	1	1	1	8	8	8	0	7	10	4	0	3	8	888	88	8	8	3	1	2	8	2	8	2	8	2	8	2	5	2	2	1	0	8	1	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	3	2	1	0	2	2	1	1	1	6	1
8401	b'R804344501'	2020	2	65	155	59	24	2	88	1	1	1	1	1	1	1	2	1	1	0	8	8	2	1	3	8	888	88	8	2	3	2	2	8	2	8	2	8	2	8	2	10	2	0	1	0	8	8	8	8	8	8	8	8	0	0	8	0	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	8	0	1	0	1	0	1	0	0	0	0	0	0	0	0	2	3	3	0	1	2	2	1	1	3	4	1
8402	b'R804371701'	2020	1	65	171	76	25	2	88	1	1	1	1	1	1	1	4	3	3	1	7	7	3	0	2	3	888	88	8	8	3	2	2	8	2	8	2	8	2	8	1	4	8	4	6	0	8	1	8	8	8	8	8	8	8	8	8	8	8	8	8	8	1	8	8	8	8	8	8	8	8	8	8	8	0	0	0	1	0	0	0	0	0	0	0	1	1	0	2	4	2	1	0	1	2	1	1	1	6	1

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks